{"id":2004,"date":"2026-07-02T23:42:11","date_gmt":"2026-07-02T16:42:11","guid":{"rendered":"https:\/\/blog.datacore.vn\/?p=2004"},"modified":"2026-07-02T23:42:14","modified_gmt":"2026-07-02T16:42:14","slug":"mang-no-ron-tich-chap-thien-vi-texture","status":"publish","type":"post","link":"https:\/\/blog.datacore.vn\/vi\/mang-no-ron-tich-chap-thien-vi-texture\/","title":{"rendered":"M\u1ea1ng N\u01a1-ron T\u00edch Ch\u1eadp Thi\u00ean V\u1ecb Texture: B\u00e0i H\u1ecdc T\u1eeb ImageNet (Geirhos 2018)"},"content":{"rendered":"\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@graph\": [\n    {\n      \"@type\": \"Article\",\n      \"@id\": \"https:\/\/blog.datacore.vn\/vi\/mang-no-ron-tich-chap-thien-vi-texture\/#article\",\n      \"headline\": \"M\u1ea1ng N\u01a1-ron T\u00edch Ch\u1eadp Thi\u00ean V\u1ecb Texture: B\u00e0i H\u1ecdc T\u1eeb ImageNet (Geirhos 2018)\",\n      \"datePublished\": \"2026-07-02\",\n      \"dateModified\": \"2026-07-02\",\n      \"author\": {\"@type\": \"Organization\", \"name\": \"DataCore\"},\n      \"publisher\": {\"@type\": \"Organization\", \"name\": \"DataCore\", \"url\": \"https:\/\/datacore.vn\"},\n      \"description\": \"M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean ImageNet nh\u1eadn di\u1ec7n theo texture thay v\u00ec h\u00ecnh d\u1ea1ng nh\u01b0 con ng\u01b0\u1eddi. C\u00e1ch Geirhos \u0111o l\u01b0\u1eddng, c\u00e1ch Stylized-ImageNet kh\u1eafc ph\u1ee5c v\u00e0 \u00fd ngh\u0129a v\u1edbi AI th\u1ef1c t\u1ebf.\",\n      \"inLanguage\": \"vi-VN\"\n    },\n    {\n      \"@type\": \"FAQPage\",\n      \"@id\": \"https:\/\/blog.datacore.vn\/vi\/mang-no-ron-tich-chap-thien-vi-texture\/#faq\",\n      \"mainEntity\": [\n        {\"@type\": \"Question\", \"name\": \"Thi\u00ean v\u1ecb texture trong m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp l\u00e0 g\u00ec?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"L\u00e0 xu h\u01b0\u1edbng c\u1ee7a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean ImageNet ph\u00e2n lo\u1ea1i \u1ea3nh theo b\u1ec1 m\u1eb7t texture thay v\u00ec theo h\u00ecnh d\u1ea1ng v\u1eadt th\u1ec3, \u0111\u01b0\u1ee3c Geirhos v\u00e0 c\u1ed9ng s\u1ef1 ghi nh\u1eadn n\u0103m 2018.\"}},\n        {\"@type\": \"Question\", \"name\": \"Thi\u00ean v\u1ecb texture \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n b\u1eb1ng c\u00e1ch n\u00e0o?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"B\u1eb1ng th\u00ed nghi\u1ec7m xung \u0111\u1ed9t t\u00edn hi\u1ec7u: \u1ea3nh gh\u00e9p h\u00ecnh d\u1ea1ng c\u1ee7a l\u1edbp n\u00e0y v\u1edbi texture c\u1ee7a l\u1edbp kh\u00e1c, \u0111\u01b0a cho c\u1ea3 ng\u01b0\u1eddi v\u00e0 m\u00f4 h\u00ecnh. Ng\u01b0\u1eddi tr\u1ea3 l\u1eddi theo h\u00ecnh d\u1ea1ng; m\u1ea1ng tr\u1ea3 l\u1eddi \u00e1p \u0111\u1ea3o theo texture.\"}},\n        {\"@type\": \"Question\", \"name\": \"Stylized-ImageNet l\u00e0 g\u00ec?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"M\u1ed9t bi\u1ebfn th\u1ec3 ImageNet trong \u0111\u00f3 texture g\u1ed1c b\u1ecb thay b\u1eb1ng phong c\u00e1ch tranh v\u1ebd qua style transfer, bu\u1ed9c m\u1ea1ng ph\u1ea3i h\u1ecdc theo h\u00ecnh d\u1ea1ng. Hu\u1ea5n luy\u1ec7n tr\u00ean \u0111\u00f3 t\u0103ng thi\u00ean v\u1ecb h\u00ecnh d\u1ea1ng v\u00e0 \u0111\u1ed9 b\u1ec1n nhi\u1ec5u.\"}},\n        {\"@type\": \"Question\", \"name\": \"M\u00f4 h\u00ecnh th\u1ecb gi\u00e1c hi\u1ec7n \u0111\u1ea1i c\u00f2n thi\u00ean v\u1ecb texture kh\u00f4ng?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Nghi\u00ean c\u1ee9u sau n\u00e0y cho th\u1ea5y vision transformer \u00edt thi\u00ean v\u1ecb texture h\u01a1n CNN, nh\u01b0ng h\u1ecdc t\u1eaft v\u1eabn l\u00e0 r\u1ee7i ro chung c\u1ee7a m\u1ecdi m\u00f4 h\u00ecnh hu\u1ea5n luy\u1ec7n tr\u00ean d\u1eef li\u1ec7u c\u00f3 t\u01b0\u01a1ng quan gi\u1ea3.\"}},\n        {\"@type\": \"Question\", \"name\": \"V\u00ec sao doanh nghi\u1ec7p c\u1ea7n quan t\u00e2m thi\u00ean v\u1ecb texture?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"M\u00f4 h\u00ecnh d\u1ef1a v\u00e0o texture suy gi\u1ea3m m\u1ea1nh khi ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u thay \u0111\u1ed5i nh\u01b0 nhi\u1ec5u, m\u1edd, \u00e1nh s\u00e1ng, camera m\u1edbi, \u0111\u00fang n\u01a1i c\u00e1c h\u1ec7 th\u1ed1ng s\u1ea3n xu\u1ea5t nh\u01b0 x\u00e1c th\u1ef1c gi\u1ea5y t\u1edd ph\u1ea3i gi\u1eef \u0111\u1ed9 tin c\u1eady.\"}}\n      ]\n    }\n  ]\n}\n<\/script>\n\n\n\n<p class=\"wp-block-paragraph\">TL;DR: B\u00e0i b\u00e1o \"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness\" (Geirhos v\u00e0 c\u1ed9ng s\u1ef1, 2018, c\u00f4ng b\u1ed1 t\u1ea1i ICLR 2019) ch\u1ec9 ra r\u1eb1ng m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp ch\u1ee7 y\u1ebfu ph\u00e2n lo\u1ea1i \u1ea3nh theo b\u1ec1 m\u1eb7t texture, trong khi con ng\u01b0\u1eddi ph\u00e2n lo\u1ea1i theo h\u00ecnh d\u1ea1ng. M\u1ed9t con m\u00e8o kho\u00e1c da voi l\u00e0 con voi v\u1edbi ResNet-50 ti\u00eau chu\u1ea9n, v\u00e0 l\u00e0 con m\u00e8o v\u1edbi g\u1ea7n nh\u01b0 m\u1ecdi con ng\u01b0\u1eddi. Nh\u00f3m t\u00e1c gi\u1ea3 \u0111o thi\u00ean v\u1ecb n\u00e0y b\u1eb1ng th\u00ed nghi\u1ec7m xung \u0111\u1ed9t t\u00edn hi\u1ec7u, r\u1ed3i gi\u1ea3m n\u00f3 b\u1eb1ng c\u00e1ch hu\u1ea5n luy\u1ec7n tr\u00ean Stylized-ImageNet, b\u1ed9 d\u1eef li\u1ec7u x\u00e1o tr\u1ed9n texture bu\u1ed9c m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp h\u1ecdc theo h\u00ecnh d\u1ea1ng v\u00e0 b\u1ec1n h\u01a1n tr\u01b0\u1edbc nhi\u1ec5u \u1ea3nh.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">B\u00e0i vi\u1ebft gi\u1ea3i th\u00edch th\u00ed nghi\u1ec7m, c\u00e1ch kh\u1eafc ph\u1ee5c, c\u00e1c \u0111\u00e1nh \u0111\u1ed5i v\u00e0 b\u00e0i h\u1ecdc c\u00f2n nguy\u00ean gi\u00e1 tr\u1ecb cho \u0111\u1ed9i ng\u0169 tri\u1ec3n khai m\u00f4 h\u00ecnh th\u1ecb gi\u00e1c h\u00f4m nay.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">B\u00e0i B\u00e1o C\u1ee7a Geirhos Ph\u00e1t Hi\u1ec7n \u0110i\u1ec1u G\u00ec V\u1ec1 M\u1ea1ng N\u01a1-ron T\u00edch Ch\u1eadp?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nghi\u00ean c\u1ee9u do Robert Geirhos t\u1ea1i \u0110\u1ea1i h\u1ecdc Tubingen d\u1eabn d\u1eaft tr\u1ea3 l\u1eddi m\u1ed9t c\u00e2u h\u1ecfi th\u01b0\u1eddng b\u1ecb g\u1ea1t \u0111i nh\u01b0 h\u1ed9p \u0111en: m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp (Convolutional Neural Network, CNN) hu\u1ea5n luy\u1ec7n tr\u00ean ImageNet th\u1ef1c s\u1ef1 h\u1ecdc g\u00ec? Quan ni\u1ec7m ph\u1ed5 bi\u1ebfn cho r\u1eb1ng m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp khai th\u00e1c c\u1ea5u tr\u00fac ph\u00e2n t\u1ea7ng c\u1ee7a v\u1eadt th\u1ec3, x\u00e2y t\u1eeb \u0111\u1eb7c tr\u01b0ng c\u1ea5p th\u1ea5p nh\u01b0 c\u1ea1nh v\u00e0 m\u00e0u l\u00ean t\u1edbi h\u00ecnh d\u1ea1ng ph\u1ee9c t\u1ea1p nh\u01b0 \u00f4 t\u00f4, con ch\u00f3.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">B\u00e0i b\u00e1o th\u00e1ch th\u1ee9c c\u00e2u chuy\u1ec7n \u0111\u00f3 b\u1eb1ng m\u1ed9t k\u1ebft lu\u1eadn \u0111\u01a1n gi\u1ea3n m\u00e0 g\u00e2y s\u1ed1c: con ng\u01b0\u1eddi nh\u1eadn di\u1ec7n v\u1eadt th\u1ec3 ch\u1ee7 y\u1ebfu theo h\u00ecnh d\u1ea1ng, c\u00f2n m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp ti\u00eau chu\u1ea9n mang thi\u00ean v\u1ecb texture n\u1eb7ng.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nh\u00f3m t\u00e1c gi\u1ea3 \u0111i xa h\u01a1n vi\u1ec7c m\u00f4 t\u1ea3 hi\u1ec7n t\u01b0\u1ee3ng. H\u1ecd x\u00e2y m\u1ed9t b\u1ed9 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 c\u1ea5y thi\u00ean h\u01b0\u1edbng gi\u1ed1ng ng\u01b0\u1eddi v\u00e0o ch\u00ednh c\u00e1c ki\u1ebfn tr\u00fac \u0111\u00f3, ch\u1ee9ng minh thi\u00ean v\u1ecb texture kh\u00f4ng ph\u1ea3i thu\u1ed9c t\u00ednh c\u1ed1 h\u1eefu c\u1ee7a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp m\u00e0 l\u00e0 h\u1ec7 qu\u1ea3 c\u1ee7a d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n. C\u00fa \u0111\u1ed5i khung \u0111\u00f3, t\u1eeb \"m\u00f4 h\u00ecnh b\u1ecb l\u1ed7i\" sang \"t\u00edn hi\u1ec7u hu\u1ea5n luy\u1ec7n th\u01b0\u1edfng cho manh m\u1ed1i sai\", l\u00e0 l\u00fd do b\u00e0i b\u00e1o v\u1eabn n\u1eb1m trong danh s\u00e1ch \u0111\u1ecdc kinh \u0111i\u1ec3n c\u1ee7a gi\u1edbi h\u1ecdc m\u00e1y.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">M\u1ea1ng N\u01a1-ron T\u00edch Ch\u1eadp Nh\u00ecn B\u1eb1ng G\u00ec: H\u00ecnh D\u1ea1ng Hay Texture?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">B\u1eb1ng ch\u1ee9ng c\u1ed1t l\u00f5i \u0111\u1ebfn t\u1eeb \u1ea3nh xung \u0111\u1ed9t t\u00edn hi\u1ec7u: nh\u1eefng b\u1ee9c \u1ea3nh c\u00f3 h\u00ecnh d\u1ea1ng thu\u1ed9c l\u1edbp n\u00e0y c\u00f2n texture thu\u1ed9c l\u1edbp kh\u00e1c, t\u1ea1o b\u1eb1ng style transfer. \u0110\u01b0a \u1ea3nh h\u00ecnh m\u00e8o kho\u00e1c da voi cho m\u1ed9t ng\u01b0\u1eddi, c\u00e2u tr\u1ea3 l\u1eddi l\u00e0 m\u00e8o, v\u00ec th\u1ecb gi\u00e1c con ng\u01b0\u1eddi coi h\u00ecnh d\u1ea1ng l\u00e0 t\u00edn hi\u1ec7u chi ph\u1ed1i. \u0110\u01b0a c\u00f9ng b\u1ee9c \u1ea3nh cho m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp ResNet-50 hu\u1ea5n luy\u1ec7n tr\u00ean ImageNet, c\u00e2u tr\u1ea3 l\u1eddi l\u00e0 voi, v\u00ec quy\u1ebft \u0111\u1ecbnh c\u1ee7a m\u1ea1ng \u0111i theo texture.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"782\" height=\"284\" src=\"https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1.png\" alt=\"V\u00ed d\u1ee5 ph\u00e2n lo\u1ea1i xung \u0111\u1ed9t t\u00edn hi\u1ec7u cho th\u1ea5y thi\u00ean v\u1ecb texture c\u1ee7a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp ResNet-50\" class=\"wp-image-1958\" srcset=\"https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1.png 782w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1-300x109.png 300w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1-768x279.png 768w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1-18x7.png 18w\" sizes=\"auto, (max-width: 782px) 100vw, 782px\" \/><figcaption class=\"wp-element-caption\">\u1ea2nh xung \u0111\u1ed9t t\u00edn hi\u1ec7u: h\u00ecnh d\u1ea1ng n\u00f3i m\u00e8o, texture n\u00f3i voi. M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp ti\u00eau chu\u1ea9n \u0111i theo texture.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u0110i\u1ec3m r\u00fat ra t\u1eeb h\u00ecnh: s\u1ef1 b\u1ea5t \u0111\u1ed3ng gi\u1eefa c\u00e2u tr\u1ea3 l\u1eddi c\u1ee7a ng\u01b0\u1eddi v\u00e0 c\u1ee7a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp tr\u00ean c\u00f9ng m\u1ed9t \u1ea3nh ch\u00ednh l\u00e0 ph\u00e9p \u0111o thi\u00ean v\u1ecb texture; kh\u00f4ng c\u1ea7n m\u1ed5 x\u1ebb b\u00ean trong m\u1ea1ng.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tr\u00ean to\u00e0n b\u1ed9 t\u1eadp \u1ea3nh xung \u0111\u1ed9t, ng\u01b0\u1eddi quan s\u00e1t trong \u0111i\u1ec1u ki\u1ec7n ph\u00f2ng th\u00ed nghi\u1ec7m c\u00f3 ki\u1ec3m so\u00e1t d\u1ef1a v\u00e0o h\u00ecnh d\u1ea1ng cho \u0111\u1ea1i \u0111a s\u1ed1 quy\u1ebft \u0111\u1ecbnh. C\u00e1c m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean ImageNet \u0111\u1ea3o ng\u01b0\u1ee3c t\u1ef7 l\u1ec7 \u0111\u00f3, nghi\u00eang v\u1ec1 texture trong ph\u1ea7n l\u1edbn xung \u0111\u1ed9t. Kho\u1ea3ng c\u00e1ch gi\u1eef nguy\u00ean qua nhi\u1ec1u ki\u1ebfn tr\u00fac, g\u1ed3m AlexNet, VGG-16, GoogLeNet v\u00e0 ResNet-50, cho th\u1ea5y thi\u00ean v\u1ecb texture \u0111\u1ebfn t\u1eeb ph\u00e2n ph\u1ed1i hu\u1ea5n luy\u1ec7n ch\u1ee9 kh\u00f4ng t\u1eeb m\u1ed9t l\u1ef1a ch\u1ecdn thi\u1ebft k\u1ebf ri\u00eang l\u1ebb.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">V\u00ec Sao Hu\u1ea5n Luy\u1ec7n Tr\u00ean ImageNet Sinh Ra Thi\u00ean V\u1ecb Texture?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">V\u1ec1 m\u1eb7t th\u1ed1ng k\u00ea, texture l\u00e0 l\u1ed1i t\u1eaft tuy\u1ec7t v\u1eddi. Trong \u1ea3nh t\u1ef1 nhi\u00ean, da voi h\u1ea7u nh\u01b0 ch\u1ec9 xu\u1ea5t hi\u1ec7n tr\u00ean voi, n\u00ean m\u1ed9t m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp b\u00e1m v\u00e0o m\u1ea3ng texture c\u1ee5c b\u1ed9 c\u00f3 th\u1ec3 \u0111\u1ea1t \u0111\u1ed9 ch\u00ednh x\u00e1c ImageNet cao m\u00e0 ch\u01b0a t\u1eebng gh\u00e9p n\u1ed5i h\u00ecnh d\u1ea1ng to\u00e0n c\u1ee5c. Ph\u00e9p t\u00edch ch\u1eadp v\u1edbi v\u00f9ng ti\u1ebfp nh\u1eadn h\u1ea1n ch\u1ebf khi\u1ebfn l\u1ed1i t\u1eaft d\u1ec5 bi\u1ec3u di\u1ec5n, v\u00e0 quy tr\u00ecnh hu\u1ea5n luy\u1ec7n ti\u00eau chu\u1ea9n khi\u1ebfn n\u00f3 sinh l\u1eddi. Kh\u00f4ng g\u00ec trong h\u00e0m m\u1ea5t m\u00e1t th\u01b0\u1edfng cho vi\u1ec7c nh\u00ecn th\u1ea5y c\u1ea3 con v\u1eadt.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0110\u00f3 l\u00e0 l\u00fd do nh\u00f3m t\u00e1c gi\u1ea3 m\u00f4 t\u1ea3 thi\u00ean v\u1ecb texture nh\u01b0 m\u1ed9t chi\u1ebfn l\u01b0\u1ee3c h\u1ecdc \u0111\u01b0\u1ee3c, kh\u00f4ng ph\u1ea3i khi\u1ebfm khuy\u1ebft. M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp gi\u1ea3i b\u1ed9 d\u1eef li\u1ec7u n\u00f3 \u0111\u01b0\u1ee3c giao, kh\u00f4ng ph\u1ea3i b\u00e0i to\u00e1n m\u00e0 ng\u01b0\u1eddi thi\u1ebft k\u1ebf t\u01b0\u1edfng t\u01b0\u1ee3ng. C\u00f4ng tr\u00ecnh sau \u0111\u00f3 c\u1ee7a c\u00f9ng nh\u00f3m t\u1ed5ng qu\u00e1t h\u00f3a nh\u1eadn x\u00e9t n\u00e0y d\u01b0\u1edbi t\u00ean g\u1ecdi h\u1ecdc t\u1eaft (shortcut learning): m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp khai th\u00e1c b\u1ea5t k\u1ef3 quy lu\u1eadt gi\u1ea3 n\u00e0o t\u00e1ch \u0111\u01b0\u1ee3c c\u00e1c l\u1edbp, d\u00f9 l\u00e0 texture, b\u1ed1i c\u1ea3nh n\u1ec1n, watermark hay d\u1ea5u v\u1ebft m\u00e1y qu\u00e9t \u0111\u1eb7c th\u00f9 b\u1ec7nh vi\u1ec7n trong \u1ea3nh y t\u1ebf.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Stylized-ImageNet L\u00e0 G\u00ec V\u00e0 Gi\u1ea3m Thi\u00ean V\u1ecb Texture Ra Sao?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u0110\u00f3ng g\u00f3p mang t\u00ednh x\u00e2y d\u1ef1ng c\u1ee7a b\u00e0i b\u00e1o l\u00e0 Stylized-ImageNet (SIN): b\u1ea3n sao ImageNet trong \u0111\u00f3 texture g\u1ed1c c\u1ee7a m\u1ed7i \u1ea3nh b\u1ecb b\u00f3c \u0111i v\u00e0 thay b\u1eb1ng phong c\u00e1ch c\u1ee7a m\u1ed9t b\u1ee9c tranh ch\u1ecdn ng\u1eabu nhi\u00ean, d\u00f9ng k\u1ef9 thu\u1eadt style transfer AdaIN. H\u00ecnh d\u1ea1ng s\u1ed1ng s\u00f3t qua ph\u00e9p bi\u1ebfn \u0111\u1ed5i; texture tr\u1edf th\u00e0nh nhi\u1ec5u v\u00f4 ngh\u0129a. M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean SIN v\u00ec v\u1eady kh\u00f4ng d\u00f9ng \u0111\u01b0\u1ee3c l\u1ed1i t\u1eaft texture v\u00e0 bu\u1ed9c ph\u1ea3i h\u1ecdc h\u00ecnh d\u1ea1ng.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"333\" src=\"https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/feature-learning-neural-network.png\" alt=\"S\u01a1 \u0111\u1ed3 h\u1ecdc \u0111\u1eb7c tr\u01b0ng minh h\u1ecda d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n quy\u1ebft \u0111\u1ecbnh thi\u00ean v\u1ecb texture c\u1ee7a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp\" class=\"wp-image-1500\" srcset=\"https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/feature-learning-neural-network.png 1000w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/feature-learning-neural-network-300x100.png 300w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/feature-learning-neural-network-768x256.png 768w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/feature-learning-neural-network-18x6.png 18w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">K\u1ebft qu\u1ea3 nh\u1ea5t qu\u00e1n. M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp ResNet-50 hu\u1ea5n luy\u1ec7n tr\u00ean SIN l\u1eadt t\u1eeb quy\u1ebft \u0111\u1ecbnh nghi\u00eang texture sang nghi\u00eang h\u00ecnh d\u1ea1ng trong b\u00e0i ki\u1ec3m tra xung \u0111\u1ed9t, ti\u1ebfn g\u1ea7n h\u00e0nh vi con ng\u01b0\u1eddi h\u01a1n h\u1eb3n. Thi\u1ebft th\u1ef1c h\u01a1n, chi\u1ebfn l\u01b0\u1ee3c d\u1ef1a h\u00ecnh d\u1ea1ng t\u1ed5ng qu\u00e1t h\u00f3a t\u1ed1t h\u01a1n: m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean SIN b\u1ec1n r\u00f5 r\u1ec7t tr\u01b0\u1edbc c\u00e1c bi\u1ebfn d\u1ea1ng \u1ea3nh ch\u01b0a t\u1eebng g\u1eb7p nh\u01b0 nhi\u1ec5u, thay \u0111\u1ed5i t\u01b0\u01a1ng ph\u1ea3n v\u00e0 c\u00e1c d\u1ea1ng h\u1ecfng \u1ea3nh kh\u00e1c, \u0111\u1ed3ng th\u1eddi c\u1ea3i thi\u1ec7n hi\u1ec7u n\u0103ng chuy\u1ec3n giao sang ph\u00e1t hi\u1ec7n v\u1eadt th\u1ec3 khi l\u00e0m backbone cho Faster R-CNN tr\u00ean Pascal VOC.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nh\u00f3m t\u00e1c gi\u1ea3 th\u1eb3ng th\u1eafn v\u1ec1 \u0111\u00e1nh \u0111\u1ed5i. Hu\u1ea5n luy\u1ec7n ch\u1ec9 tr\u00ean SIN t\u1ed1n v\u00e0i \u0111i\u1ec3m ph\u1ea7n tr\u0103m \u0111\u1ed9 ch\u00ednh x\u00e1c tr\u00ean \u1ea3nh t\u1ef1 nhi\u00ean, v\u00ec texture th\u1ef1c s\u1ef1 h\u1eefu \u00edch khi n\u00f3 kh\u00f4ng \u0111\u00e1nh l\u1eeba. M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean SIN c\u0169ng d\u1ec5 t\u1ed5n th\u01b0\u01a1ng h\u01a1n tr\u01b0\u1edbc \u1ea3nh m\u1edd, b\u1edfi m\u1edd ph\u00e1 h\u1ee7y \u0111\u01b0\u1eddng n\u00e9t h\u00ecnh d\u1ea1ng m\u00e0 ch\u00fang gi\u1edd ph\u1ee5 thu\u1ed9c. C\u00f4ng th\u1ee9c th\u1ef1c d\u1ee5ng nh\u1ea5t trong b\u00e0i l\u00e0 hu\u1ea5n luy\u1ec7n k\u1ebft h\u1ee3p ImageNet c\u1ed9ng SIN, l\u1ea5y l\u1ea1i \u0111\u1ed9 ch\u00ednh x\u00e1c \u1ea3nh t\u1ef1 nhi\u00ean trong khi gi\u1eef ph\u1ea7n l\u1edbn \u0111\u1ed9 b\u1ec1n.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">V\u00ec Sao Ta Mu\u1ed1n M\u1ea1ng N\u01a1-ron T\u00edch Ch\u1eadp Mang Thi\u00ean H\u01b0\u1edbng Gi\u1ed1ng Ng\u01b0\u1eddi?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">C\u00e2u h\u1ecfi nghe tri\u1ebft h\u1ecdc nh\u01b0ng c\u00f3 c\u00e2u tr\u1ea3 l\u1eddi k\u1ef9 thu\u1eadt. M\u1ee5c ti\u00eau hu\u1ea5n luy\u1ec7n m\u1ed9t m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp kh\u00f4ng ph\u1ea3i \u0111i\u1ec3m cao tr\u00ean m\u1ed9t b\u1ed9 d\u1eef li\u1ec7u, m\u00e0 l\u00e0 h\u00e0nh x\u1eed h\u1ee3p l\u00fd tr\u00ean ph\u00e2n ph\u1ed1i \u1ea3nh m\u1edf m\u00e0 th\u1ebf gi\u1edbi th\u1ef1c s\u1ebd t\u1ea1o ra. Th\u1ecb gi\u00e1c con ng\u01b0\u1eddi l\u00e0 b\u1eb1ng ch\u1ee9ng t\u1ed3n t\u1ea1i c\u1ee7a m\u1ed9t chi\u1ebfn l\u01b0\u1ee3c t\u1ed5ng qu\u00e1t h\u00f3a qua \u00e1nh s\u00e1ng, th\u1eddi ti\u1ebft, che khu\u1ea5t v\u00e0 g\u00f3c nh\u00ecn m\u1edbi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Khi t\u00edn hi\u1ec7u chi ph\u1ed1i c\u1ee7a m\u00f4 h\u00ecnh kh\u00e1c v\u1edbi c\u1ee7a ch\u00fang ta, nh\u01b0 v\u1edbi thi\u00ean v\u1ecb texture, th\u1ea5t b\u1ea1i c\u1ee7a n\u00f3 tr\u1edf n\u00ean xa l\u1ea1: t\u1ef1 tin, c\u00f3 h\u1ec7 th\u1ed1ng v\u00e0 kh\u00f3 l\u01b0\u1eddng tr\u01b0\u1edbc.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Quy\u1ebft \u0111\u1ecbnh d\u1ef1a h\u00ecnh d\u1ea1ng c\u0169ng suy gi\u1ea3m \u00eam h\u01a1n. T\u00edn hi\u1ec7u h\u00ecnh d\u1ea1ng xu\u1ed1ng c\u1ea5p g\u1ea7n gi\u1ed1ng c\u00e1ch hi\u1ec7u n\u0103ng con ng\u01b0\u1eddi xu\u1ed1ng c\u1ea5p, khi\u1ebfn h\u00e0nh vi c\u1ee7a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp d\u1ec5 suy lu\u1eadn, d\u1ec5 ki\u1ec3m to\u00e1n v\u00e0 d\u1ec5 gi\u00e1m s\u00e1t h\u01a1n. C\u0103n ch\u1ec9nh thi\u00ean h\u01b0\u1edbng quy n\u1ea1p c\u1ee7a m\u00e1y theo con ng\u01b0\u1eddi v\u00ec v\u1eady kh\u00f4ng ph\u1ea3i b\u1eaft ch\u01b0\u1edbc cho vui, m\u00e0 l\u00e0 th\u1eeba h\u01b0\u1edfng m\u1ed9t t\u1ef7 n\u0103m ch\u1ea1y th\u1eed nghi\u1ec7m hi\u1ec7n tr\u01b0\u1eddng.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">T\u1eeb 2018 \u0110\u1ebfn Nay, Nghi\u00ean C\u1ee9u Thi\u00ean V\u1ecb Texture \u0110i V\u1ec1 \u0110\u00e2u?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">B\u00e0i b\u00e1o m\u1edf ra m\u1ed9t nh\u00e1nh nghi\u00ean c\u1ee9u v\u1eabn \u0111ang ho\u1ea1t \u0111\u1ed9ng. C\u00e1c c\u00f4ng tr\u00ecnh ti\u1ebfp n\u1ed1i x\u00e1c l\u1eadp r\u1eb1ng thi\u00ean v\u1ecb texture c\u0169ng gi\u1ea3m \u0111\u01b0\u1ee3c b\u1eb1ng t\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u m\u1ea1nh tay, v\u00e0 m\u1ee9c \u0111\u1ed9 thi\u00ean v\u1ecb ph\u1ee5 thu\u1ed9c m\u1ee5c ti\u00eau hu\u1ea5n luy\u1ec7n c\u00f9ng \u0111\u1ed9 \u0111a d\u1ea1ng d\u1eef li\u1ec7u, kh\u00f4ng ch\u1ec9 ki\u1ebfn tr\u00fac. Khi vision transformer (ViT) xu\u1ea5t hi\u1ec7n, nhi\u1ec1u nh\u00f3m \u0111o ch\u00fang tr\u00ean c\u00f9ng b\u1ed9 chu\u1ea9n xung \u0111\u1ed9t t\u00edn hi\u1ec7u v\u00e0 th\u1ea5y ch\u00fang nghi\u00eang h\u00ecnh d\u1ea1ng r\u00f5 r\u1ec7t h\u01a1n m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp, d\u00f9 v\u1eabn ch\u01b0a ch\u1ea1m m\u1ee9c con ng\u01b0\u1eddi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Di s\u1ea3n r\u1ed9ng h\u01a1n l\u00e0 khung h\u1ecdc t\u1eaft (Geirhos v\u00e0 c\u1ed9ng s\u1ef1, 2020), coi thi\u00ean v\u1ecb texture l\u00e0 m\u1ed9t tr\u01b0\u1eddng h\u1ee3p c\u1ee7a ch\u1ebf \u0111\u1ed9 th\u1ea5t b\u1ea1i ph\u1ed5 qu\u00e1t: m\u1ea1ng s\u00e2u b\u00e1m v\u00e0o b\u1ea5t k\u1ef3 l\u1ed1i t\u1eaft th\u1ed1ng k\u00ea n\u00e0o b\u1ed9 d\u1eef li\u1ec7u ch\u00e0o m\u1eddi. Khung \u0111\u00f3 nay \u0111\u1ecbnh h\u00ecnh c\u00e1ch gi\u1edbi th\u1ef1c h\u00e0nh x\u00e2y b\u1ed9 \u0111\u00e1nh gi\u00e1, \u01b0u ti\u00ean ki\u1ec3m tra ngo\u00e0i ph\u00e2n ph\u1ed1i, chu\u1ea9n \u0111o h\u1ecfng \u1ea3nh nh\u01b0 ImageNet-C v\u00e0 ch\u1ea9n \u0111o\u00e1n ki\u1ec3u xung \u0111\u1ed9t t\u00edn hi\u1ec7u thay v\u00ec m\u1ed9t con s\u1ed1 x\u1ebfp h\u1ea1ng duy nh\u1ea5t.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1280\" height=\"1024\" src=\"https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/neural-network-ai-chip.jpg\" alt=\"Tr\u1ef1c quan h\u00f3a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp tr\u00ean chip AI, t\u1ea7ng ph\u1ea7n c\u1ee9ng b\u00ean d\u01b0\u1edbi nghi\u00ean c\u1ee9u thi\u00ean v\u1ecb texture\" class=\"wp-image-1846\" srcset=\"https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/neural-network-ai-chip.jpg 1280w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/neural-network-ai-chip-300x240.jpg 300w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/neural-network-ai-chip-1024x819.jpg 1024w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/neural-network-ai-chip-768x614.jpg 768w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/neural-network-ai-chip-15x12.jpg 15w\" sizes=\"auto, (max-width: 1280px) 100vw, 1280px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Th\u00ed Nghi\u1ec7m So S\u00e1nh Ng\u01b0\u1eddi V\u00e0 M\u00e1y C\u00f4ng B\u1eb1ng \u0110\u1ebfn \u0110\u00e2u?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">So s\u00e1nh gi\u1eefa ng\u01b0\u1eddi v\u00e0 m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp ch\u1ec9 \u0111\u00e1ng tin khi ki\u1ec3m so\u00e1t t\u1ed1t, v\u00e0 s\u1ef1 c\u1ea9n tr\u1ecdng ph\u01b0\u01a1ng ph\u00e1p l\u00e0 ph\u1ea7n l\u1edbn l\u00fd do k\u1ebft qu\u1ea3 thi\u00ean v\u1ecb texture \u0111\u01b0\u1ee3c ch\u1ea5p nh\u1eadn. \u1ea2nh k\u00edch th\u00edch \u0111\u01b0\u1ee3c \u00e1nh x\u1ea1 v\u00e0o m\u01b0\u1eddi s\u00e1u nh\u00f3m c\u01a1 b\u1ea3n t\u01b0\u01a1ng th\u00edch ImageNet nh\u01b0 m\u00e8o, voi, \u00f4 t\u00f4, \u0111\u1ed3ng h\u1ed3, \u0111\u1ec3 ng\u01b0\u1eddi v\u00e0 m\u00f4 h\u00ecnh tr\u1ea3 l\u1eddi c\u00f9ng c\u00e2u h\u1ecfi tr\u00ean c\u00f9ng kh\u00f4ng gian nh\u00e3n.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ng\u01b0\u1eddi tham gia xem \u1ea3nh trong th\u1eddi gian ng\u1eafn d\u01b0\u1edbi \u0111i\u1ec1u ki\u1ec7n ph\u00f2ng th\u00ed nghi\u1ec7m, ng\u0103n suy lu\u1eadn k\u00e9o d\u00e0i v\u00e0 gi\u1eef b\u00e0i to\u00e1n g\u1ea7n v\u1edbi nh\u1eadn di\u1ec7n truy\u1ec1n th\u1eb3ng nhanh m\u00e0 m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp th\u1ef1c hi\u1ec7n.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Quan tr\u1ecdng nh\u1ea5t, \u1ea3nh xung \u0111\u1ed9t t\u00edn hi\u1ec7u kh\u00f4ng c\u00f3 \u0111\u00e1p \u00e1n \u0111\u00fang. Khi h\u00ecnh d\u1ea1ng n\u00f3i m\u00e8o v\u00e0 texture n\u00f3i voi, c\u00e2u tr\u1ea3 l\u1eddi n\u00e0o c\u0169ng bi\u1ec7n h\u1ed9 \u0111\u01b0\u1ee3c; th\u00ed nghi\u1ec7m \u0111o t\u00edn hi\u1ec7u n\u00e0o chi ph\u1ed1i h\u1ec7 th\u1ecb gi\u00e1c c\u1ee7a m\u1ed7i ng\u01b0\u1eddi quan s\u00e1t. Thi\u1ebft k\u1ebf \u0111\u00f3 bi\u1ebfn m\u1ed9t c\u00e2u h\u1ecfi m\u01a1 h\u1ed3 v\u1ec1 vi\u1ec7c m\u1ea1ng h\u1ecdc g\u00ec th\u00e0nh m\u1ed9t t\u1ef7 s\u1ed1 \u0111\u1ecbnh l\u01b0\u1ee3ng s\u1ea1ch, \u0111i\u1ec3m thi\u00ean v\u1ecb h\u00ecnh d\u1ea1ng, m\u00e0 m\u1ecdi m\u00f4 h\u00ecnh sau n\u00e0y \u0111\u1ec1u \u0111o \u0111\u01b0\u1ee3c. \u0110\u00f3 l\u00e0 l\u00fd do b\u1ed9 chu\u1ea9n v\u1eabn \u0111\u01b0\u1ee3c d\u00f9ng th\u01b0\u1eddng quy \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 ki\u1ebfn tr\u00fac m\u1edbi nhi\u1ec1u n\u0103m sau c\u00f4ng b\u1ed1.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/01-ai-agent-artificial-intelligence.png\" alt=\"Tr\u1ef1c quan h\u00f3a h\u1ec7 th\u1ed1ng AI x\u1eed l\u00fd \u0111\u1eb7c tr\u01b0ng th\u1ecb gi\u00e1c, b\u1ed1i c\u1ea3nh xu\u1ea5t hi\u1ec7n thi\u00ean v\u1ecb texture c\u1ee7a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp\" class=\"wp-image-1252\" srcset=\"https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/01-ai-agent-artificial-intelligence.png 1024w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/01-ai-agent-artificial-intelligence-300x300.png 300w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/01-ai-agent-artificial-intelligence-150x150.png 150w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/01-ai-agent-artificial-intelligence-768x768.png 768w, https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/01-ai-agent-artificial-intelligence-12x12.png 12w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Nghi\u00ean C\u1ee9u Thi\u00ean V\u1ecb Texture C\u00f3 Nh\u1eefng Gi\u1edbi H\u1ea1n G\u00ec?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">B\u00e0i b\u00e1o x\u1ee9ng \u0111\u00e1ng v\u1edbi \u1ea3nh h\u01b0\u1edfng c\u1ee7a n\u00f3, nh\u01b0ng ng\u01b0\u1eddi \u0111\u1ecdc nghi\u00eam t\u00fac n\u00ean gi\u1eef b\u1ed1n l\u01b0u \u00fd. Th\u1ee9 nh\u1ea5t, style transfer l\u00e0 con dao m\u1ed5 kh\u00f4ng ho\u00e0n h\u1ea3o: n\u00f3 x\u00e1o tr\u1ed9n m\u1ed9t ph\u1ea7n th\u00f4ng tin h\u00ecnh d\u1ea1ng c\u00f9ng v\u1edbi texture, n\u00ean ph\u00e9p t\u00e1ch t\u00edn hi\u1ec7u m\u1ea1nh nh\u01b0ng kh\u00f4ng tuy\u1ec7t \u0111\u1ed1i. Th\u1ee9 hai, \u0111\u01b0\u1eddng c\u01a1 s\u1edf con ng\u01b0\u1eddi \u0111\u1ebfn t\u1eeb \u0111i\u1ec1u ki\u1ec7n xem ph\u00f2ng th\u00ed nghi\u1ec7m; tri gi\u00e1c \u0111\u1eddi th\u01b0\u1eddng, v\u1edbi th\u1eddi gian v\u00e0 b\u1ed1i c\u1ea3nh kh\u00f4ng gi\u1edbi h\u1ea1n, c\u00f3 th\u1ec3 c\u00e2n t\u00edn hi\u1ec7u kh\u00e1c \u0111i.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Th\u1ee9 ba, texture kh\u00f4ng ph\u1ea3i k\u1ebb x\u1ea5u. Trong \u1ea3nh t\u1ef1 nhi\u00ean texture l\u00e0 t\u00edn hi\u1ec7u h\u1ee3p l\u1ec7, gi\u00e0u th\u00f4ng tin, v\u00e0 m\u1ed9t m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp b\u1ecf qua n\u00f3 ho\u00e0n to\u00e0n s\u1ebd t\u1ec7 h\u01a1n. V\u1ea5n \u0111\u1ec1 m\u00e0 nghi\u00ean c\u1ee9u ph\u01a1i b\u00e0y l\u00e0 s\u1ef1 ph\u1ee5 thu\u1ed9c qu\u00e1 m\u1ee9c v\u00e0o m\u1ed9t t\u00edn hi\u1ec7u duy nh\u1ea5t d\u1ec5 g\u00e3y khi ph\u00e2n ph\u1ed1i thay \u0111\u1ed5i, kh\u00f4ng ph\u1ea3i b\u1ea3n th\u00e2n vi\u1ec7c d\u00f9ng t\u00edn hi\u1ec7u.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Th\u1ee9 t\u01b0, m\u1ee9c thi\u00ean v\u1ecb \u0111\u1ecbnh l\u01b0\u1ee3ng thay \u0111\u1ed5i theo chi ti\u1ebft hu\u1ea5n luy\u1ec7n; c\u00e1c l\u1ea7n t\u00e1i l\u1eadp sau n\u00e0y th\u1ea5y t\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u, h\u00e0m m\u1ee5c ti\u00eau v\u00e0 quy m\u00f4 d\u1eef li\u1ec7u \u0111\u1ec1u d\u1ecbch chuy\u1ec3n \u0111i\u1ec3m thi\u00ean v\u1ecb h\u00ecnh d\u1ea1ng, \u0111\u00f4i khi \u0111\u00e1ng k\u1ec3, m\u00e0 kh\u00f4ng c\u1ea7n \u0111\u1ed5i ki\u1ebfn tr\u00fac.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Kh\u00f4ng l\u01b0u \u00fd n\u00e0o l\u1eadt \u0111\u1ed5 ph\u00e1t hi\u1ec7n trung t\u00e2m. Ch\u00fang tinh ch\u1ec9nh n\u00f3 th\u00e0nh d\u1ea1ng m\u00e0 gi\u1edbi th\u1ef1c h\u00e0nh th\u1ef1c s\u1ef1 d\u00f9ng: c\u00e1c t\u00edn hi\u1ec7u m\u00e0 m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp d\u1ef1a v\u00e0o l\u00e0 thu\u1ed9c t\u00ednh \u0111o \u0111\u01b0\u1ee3c, \u0111i\u1ec1u ch\u1ec9nh \u0111\u01b0\u1ee3c c\u1ee7a pipeline hu\u1ea5n luy\u1ec7n, v\u00e0 n\u00ean \u0111\u01b0\u1ee3c \u0111o thay v\u00ec gi\u1ea3 \u0111\u1ecbnh.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u0110\u1ed9i Ng\u0169 N\u00ean Ki\u1ec3m Tra Thi\u00ean V\u1ecb Texture Trong M\u00f4 H\u00ecnh C\u1ee7a M\u00ecnh Th\u1ebf N\u00e0o?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Ph\u01b0\u01a1ng ph\u00e1p c\u1ee7a b\u00e0i b\u00e1o d\u1ecbch th\u1eb3ng th\u00e0nh m\u1ed9t quy tr\u00ecnh ki\u1ec3m to\u00e1n th\u1ef1c t\u1ebf m\u00e0 m\u1ecdi \u0111\u1ed9i x\u00e2y m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp c\u00f3 th\u1ec3 ch\u1ea1y tr\u01b0\u1edbc khi tri\u1ec3n khai. Kh\u00f4ng b\u01b0\u1edbc n\u00e0o \u0111\u00f2i h\u1ecfi hu\u1ea5n luy\u1ec7n l\u1ea1i, v\u00e0 ph\u1ea7n l\u1edbn t\u1ef1 \u0111\u1ed9ng h\u00f3a \u0111\u01b0\u1ee3c trong pipeline \u0111\u00e1nh gi\u00e1.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>X\u00e2y b\u1ed9 \u1ea3nh xung \u0111\u1ed9t t\u00edn hi\u1ec7u nh\u1ecf cho mi\u1ec1n c\u1ee7a b\u1ea1n.<\/strong> Style transfer ho\u1eb7c ho\u00e1n \u0111\u1ed5i texture gi\u1eefa ch\u00ednh c\u00e1c l\u1edbp c\u1ee7a b\u1ea1n h\u00e9 l\u1ed9 m\u00f4 h\u00ecnh th\u1ef1c s\u1ef1 \u0111i theo t\u00edn hi\u1ec7u n\u00e0o, \u0111\u00fang c\u00e1ch c\u00e1c th\u00ed nghi\u1ec7m g\u1ed1c l\u00e0m v\u1edbi c\u00e1c l\u1edbp ImageNet.<\/li>\n\n\n\n<li><strong>Ch\u1ea1y chu\u1ea9n \u0111o h\u1ecfng \u1ea3nh.<\/strong> \u0110\u00e1nh gi\u00e1 tr\u00ean phi\u00ean b\u1ea3n d\u1eef li\u1ec7u ki\u1ec3m \u0111\u1ecbnh b\u1ecb th\u00eam nhi\u1ec5u, l\u00e0m m\u1edd, n\u00e9n v\u00e0 \u0111\u1ed5i \u00e1nh s\u00e1ng. V\u00e1ch \u0111\u1ee9ng \u0111\u1ed9 ch\u00ednh x\u00e1c d\u01b0\u1edbi h\u1ecfng \u1ea3nh l\u00e0 ch\u1eef k\u00fd c\u1ee7a s\u1ef1 ph\u1ee5 thu\u1ed9c l\u1ed1i t\u1eaft.<\/li>\n\n\n\n<li><strong>Ki\u1ec3m tra \u0111\u1ed9 nh\u1ea1y b\u1ed1i c\u1ea3nh n\u1ec1n.<\/strong> T\u00e1ch v\u1eadt th\u1ec3 v\u00e0 ho\u00e1n \u0111\u1ed5i n\u1ec1n. N\u1ebfu d\u1ef1 \u0111o\u00e1n l\u1eadt, m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp \u0111ang \u0111\u1ecdc b\u1ed1i c\u1ea3nh, h\u1ecd h\u00e0ng c\u1ee7a thi\u00ean v\u1ecb texture, thay v\u00ec v\u1eadt th\u1ec3.<\/li>\n\n\n\n<li><strong>So v\u1edbi \u0111\u01b0\u1eddng c\u01a1 s\u1edf con ng\u01b0\u1eddi tr\u00ean c\u00e1c ca kh\u00f3.<\/strong> N\u01a1i con ng\u01b0\u1eddi v\u1eabn ch\u00ednh x\u00e1c c\u00f2n m\u00f4 h\u00ecnh s\u1ee5p \u0111\u1ed5 ch\u00ednh l\u00e0 ng\u00e2n s\u00e1ch l\u1ec7ch ph\u00e2n ph\u1ed1i m\u00e0 h\u1ec7 gi\u00e1m s\u00e1t c\u1ee7a b\u1ea1n c\u1ea7n canh.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">Thi\u00ean V\u1ecb Texture C\u00f3 \u00dd Ngh\u0129a G\u00ec V\u1edbi \u0110\u1ed9i Ng\u0169 D\u1eef Li\u1ec7u Vi\u1ec7t Nam?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">V\u1edbi h\u1ec7 th\u1ed1ng s\u1ea3n xu\u1ea5t, thi\u00ean v\u1ecb texture kh\u00f4ng ph\u1ea3i chuy\u1ec7n h\u00e0n l\u00e2m; n\u00f3 l\u00e0 ng\u00e2n s\u00e1ch \u0111\u1ed9 tin c\u1eady. X\u00e1c th\u1ef1c danh t\u00ednh l\u00e0 v\u00ed d\u1ee5 n\u1ed9i \u0111\u1ecba r\u00f5 nh\u1ea5t: m\u1ed9t pipeline eKYC x\u00e1c minh gi\u1ea5y t\u1edd v\u00e0 khu\u00f4n m\u1eb7t Vi\u1ec7t Nam ph\u1ea3i gi\u1eef \u0111\u1ed9 ch\u00ednh x\u00e1c qua \u0111\u1ee7 lo\u1ea1i camera \u0111i\u1ec7n tho\u1ea1i, \u0111i\u1ec1u ki\u1ec7n \u00e1nh s\u00e1ng, ch\u1ea5t l\u01b0\u1ee3ng in v\u00e0 m\u1ee9c n\u00e9n \u1ea3nh ch\u01b0a t\u1eebng g\u1eb7p khi hu\u1ea5n luy\u1ec7n.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">M\u1ed9t m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp d\u1ef1a v\u00e0o t\u00edn hi\u1ec7u m\u1ee9c texture s\u1ebd suy gi\u1ea3m \u0111\u00fang \u1edf nh\u1eefng \u0111i\u1ec1u ki\u1ec7n \u0111\u00f3, v\u00e0 v\u00ec v\u1eady \u0111\u00e1nh gi\u00e1 \u0111\u1ed9 b\u1ec1n theo tinh th\u1ea7n c\u1ee7a d\u00f2ng nghi\u00ean c\u1ee9u thi\u00ean v\u1ecb texture \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p v\u00e0o c\u00e1ch DataCore ki\u1ec3m \u0111\u1ecbnh c\u00e1c m\u00f4 h\u00ecnh \u0111\u1eb1ng sau d\u1ecbch v\u1ee5 eKYC.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">B\u00e0i h\u1ecdc thi\u1ebft k\u1ebf d\u1eef li\u1ec7u c\u00f2n \u0111i xa h\u01a1n. Stylized-ImageNet hi\u1ec7u qu\u1ea3 v\u00ec nh\u00f3m t\u00e1c gi\u1ea3 \u0111\u1ed5i d\u1eef li\u1ec7u, kh\u00f4ng \u0111\u1ed5i ki\u1ebfn tr\u00fac, v\u00e0 \u0111\u00f2n b\u1ea9y \u0111\u00f3 m\u1edf cho m\u1ecdi \u0111\u1ed9i: x\u00e2y t\u1eadp hu\u1ea5n luy\u1ec7n ph\u00e1 v\u1ee1 t\u01b0\u01a1ng quan gi\u1ea3, v\u00e0 ki\u1ec3m \u0111\u1ecbnh tr\u00ean d\u1eef li\u1ec7u c\u00f4 l\u1eadp \u0111\u00fang t\u00edn hi\u1ec7u b\u1ea1n mu\u1ed1n m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp s\u1eed d\u1ee5ng. D\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac, t\u00e0i li\u1ec7u h\u00f3a t\u1ed1t nh\u01b0 trong <a href=\"https:\/\/datacore.vn\/vi\/demo\/data-domains\/\" target=\"_blank\" rel=\"noopener\">th\u01b0 vi\u1ec7n mi\u1ec1n d\u1eef li\u1ec7u c\u1ee7a DataCore<\/a> l\u00e0 nguy\u00ean li\u1ec7u th\u00f4 cho k\u1ef7 lu\u1eadt \u0111\u00f3.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">V\u1ec1 b\u1ed1i c\u1ea3nh AI r\u1ed9ng h\u01a1n t\u1ea1i Vi\u1ec7t Nam, m\u1eddi b\u1ea1n \u0111\u1ecdc ph\u00e2n t\u00edch <a href=\"https:\/\/blog.datacore.vn\/vi\/mo-hinh-ai-anthropic-bi-han-che\/\">r\u1ee7i ro ti\u1ebfp c\u1eadn m\u00f4 h\u00ecnh AI n\u0103m 2026<\/a> v\u00e0 <a href=\"https:\/\/blog.datacore.vn\/vi\/trung-tam-du-lieu-ai-viet-nam-2026\/\">l\u00e0n s\u00f3ng \u0111\u1ea7u t\u01b0 trung t\u00e2m d\u1eef li\u1ec7u AI<\/a>, ph\u1ea7n h\u1ea1 t\u1ea7ng v\u00e0 ngu\u1ed3n cung c\u1ee7a c\u00f9ng v\u00f2ng \u0111\u1eddi m\u00f4 h\u00ecnh m\u00e0 c\u00e2u chuy\u1ec7n thi\u00ean v\u1ecb texture n\u00e0y soi t\u1eeb ph\u00eda \u0111\u00e1nh gi\u00e1.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">C\u00e2u H\u1ecfi Th\u01b0\u1eddng G\u1eb7p V\u1ec1 Thi\u00ean V\u1ecb Texture C\u1ee7a M\u1ea1ng N\u01a1-ron T\u00edch Ch\u1eadp<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Thi\u00ean v\u1ecb texture trong m\u1ed9t c\u00e2u l\u00e0 g\u00ec?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">L\u00e0 xu h\u01b0\u1edbng c\u1ee7a m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean ImageNet ph\u00e2n lo\u1ea1i \u1ea3nh theo texture b\u1ec1 m\u1eb7t thay v\u00ec h\u00ecnh d\u1ea1ng v\u1eadt th\u1ec3, ng\u01b0\u1ee3c v\u1edbi tri gi\u00e1c con ng\u01b0\u1eddi, theo Geirhos v\u00e0 c\u1ed9ng s\u1ef1 (2018).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Thi\u00ean v\u1ecb texture \u0111\u01b0\u1ee3c \u0111o th\u1ebf n\u00e0o?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">B\u1eb1ng \u1ea3nh xung \u0111\u1ed9t t\u00edn hi\u1ec7u gh\u00e9p h\u00ecnh d\u1ea1ng c\u1ee7a l\u1edbp n\u00e0y v\u1edbi texture c\u1ee7a l\u1edbp kh\u00e1c. T\u1ef7 l\u1ec7 c\u00e2u tr\u1ea3 l\u1eddi nh\u1ea5t qu\u00e1n v\u1edbi h\u00ecnh d\u1ea1ng l\u00e0 \u0111i\u1ec3m thi\u00ean v\u1ecb h\u00ecnh d\u1ea1ng; con ng\u01b0\u1eddi g\u1ea7n \u0111\u1ec9nh thang, m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp ti\u00eau chu\u1ea9n g\u1ea7n \u0111\u00e1y.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Stylized-ImageNet c\u00f3 x\u00f3a h\u1eb3n thi\u00ean v\u1ecb texture kh\u00f4ng?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Kh\u00f4ng. N\u00f3 \u0111\u1ea9y m\u1ea1ng nghi\u00eang m\u1ea1nh v\u1ec1 quy\u1ebft \u0111\u1ecbnh h\u00ecnh d\u1ea1ng v\u00e0 t\u0103ng \u0111\u1ed9 b\u1ec1n tr\u01b0\u1edbc h\u1ecfng \u1ea3nh, \u0111\u1ed5i l\u1ea1i v\u00e0i \u0111i\u1ec3m \u0111\u1ed9 ch\u00ednh x\u00e1c tr\u00ean \u1ea3nh s\u1ea1ch v\u00e0 nh\u1ea1y h\u01a1n v\u1edbi \u1ea3nh m\u1edd. Hu\u1ea5n luy\u1ec7n k\u1ebft h\u1ee3p ImageNet c\u1ed9ng SIN l\u00e0 c\u00f4ng th\u1ee9c c\u00e2n b\u1eb1ng.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Vision transformer c\u00f3 thi\u00ean v\u1ecb texture kh\u00f4ng?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u00cdt h\u01a1n m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp. C\u00e1c nghi\u00ean c\u1ee9u xung \u0111\u1ed9t t\u00edn hi\u1ec7u sau 2020 th\u1ea5y ViT nghi\u00eang h\u00ecnh d\u1ea1ng h\u01a1n \u0111\u00e1ng k\u1ec3, d\u00f9 kho\u1ea3ng c\u00e1ch t\u1edbi m\u1ee9c d\u1ef1a h\u00ecnh d\u1ea1ng c\u1ee7a con ng\u01b0\u1eddi ch\u01b0a kh\u00e9p h\u1eb3n, v\u00e0 r\u1ee7i ro h\u1ecdc t\u1eaft v\u1eabn c\u00f2n.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">V\u00ec sao doanh nghi\u1ec7p n\u00ean quan t\u00e2m thi\u00ean v\u1ecb texture?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">V\u00ec m\u00f4 h\u00ecnh d\u1ef1a texture th\u1ea5t b\u1ea1i d\u01b0\u1edbi c\u00e1c d\u1ecbch chuy\u1ec3n ph\u00e2n ph\u1ed1i th\u01b0\u1eddng nh\u1eadt c\u1ee7a \u1ea3nh s\u1ea3n xu\u1ea5t: camera m\u1edbi, n\u00e9n, \u00e1nh s\u00e1ng, th\u1eddi ti\u1ebft. Ki\u1ec3m to\u00e1n thi\u00ean v\u1ecb texture tr\u01b0\u1edbc tri\u1ec3n khai r\u1ebb h\u01a1n nhi\u1ec1u so v\u1edbi ph\u00e1t hi\u1ec7n n\u00f3 trong m\u1ed9t b\u00e1o c\u00e1o s\u1ef1 c\u1ed1.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Ngu\u1ed3n Tham Kh\u1ea3o<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F. A., Brendel, W.: <a href=\"https:\/\/arxiv.org\/abs\/1811.12231\" target=\"_blank\" rel=\"noopener\">\"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness\"<\/a>, arXiv 1811.12231, c\u00f4ng b\u1ed1 t\u1ea1i ICLR 2019.<\/li>\n\n\n\n<li>Geirhos, R. v\u00e0 c\u1ed9ng s\u1ef1: <a href=\"https:\/\/arxiv.org\/abs\/2004.07780\" target=\"_blank\" rel=\"noopener\">\"Shortcut Learning in Deep Neural Networks\"<\/a>, Nature Machine Intelligence (2020), arXiv 2004.07780.<\/li>\n\n\n\n<li>M\u00e3 ngu\u1ed3n v\u00e0 h\u01b0\u1edbng d\u1eabn Stylized-ImageNet: <a href=\"https:\/\/github.com\/rgeirhos\/Stylized-ImageNet\" target=\"_blank\" rel=\"noopener\">github.com\/rgeirhos\/Stylized-ImageNet<\/a>.<\/li>\n\n\n\n<li>Hendrycks, D., Dietterich, T.: <a href=\"https:\/\/arxiv.org\/abs\/1903.12261\" target=\"_blank\" rel=\"noopener\">\"Benchmarking Neural Network Robustness to Common Corruptions and Perturbations (ImageNet-C)\"<\/a>, ICLR 2019.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean ImageNet nh\u1eadn di\u1ec7n theo texture thay v\u00ec h\u00ecnh d\u1ea1ng nh\u01b0 con ng\u01b0\u1eddi. C\u00e1ch Geirhos \u0111o l\u01b0\u1eddng, c\u00e1ch Stylized-ImageNet kh\u1eafc ph\u1ee5c v\u00e0 \u00fd ngh\u0129a v\u1edbi AI th\u1ef1c t\u1ebf.<\/p>","protected":false},"author":19,"featured_media":1958,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_uag_custom_page_level_css":"","_swt_meta_header_display":false,"_swt_meta_footer_display":false,"_swt_meta_site_title_display":false,"_swt_meta_sticky_header":false,"_swt_meta_transparent_header":false,"footnotes":""},"categories":[19,82],"tags":[1099,1146,1149,1152,1155],"class_list":["post-2004","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-vi","category-cong-nghe-vi","tag-dc-2026-w27-vi-vi","tag-do-ben-mo-hinh-vi","tag-hoc-sau-vi","tag-nghien-cuu-ai-vi","tag-thi-giac-may-tinh-vi"],"uagb_featured_image_src":{"full":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1.png",782,284,false],"thumbnail":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1-150x150.png",150,150,true],"medium":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1-300x109.png",300,109,true],"medium_large":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1-768x279.png",768,279,true],"large":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1.png",782,284,false],"1536x1536":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1.png",782,284,false],"2048x2048":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1.png",782,284,false],"trp-custom-language-flag":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/image-1-18x7.png",18,7,true]},"uagb_author_info":{"display_name":"DataCore Marketing","author_link":"https:\/\/blog.datacore.vn\/vi\/author\/datacore_marketing\/"},"uagb_comment_info":0,"uagb_excerpt":"M\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp hu\u1ea5n luy\u1ec7n tr\u00ean ImageNet nh\u1eadn di\u1ec7n theo texture thay v\u00ec h\u00ecnh d\u1ea1ng nh\u01b0 con ng\u01b0\u1eddi. C\u00e1ch Geirhos \u0111o l\u01b0\u1eddng, c\u00e1ch Stylized-ImageNet kh\u1eafc ph\u1ee5c v\u00e0 \u00fd ngh\u0129a v\u1edbi AI th\u1ef1c t\u1ebf.","_links":{"self":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/2004","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/comments?post=2004"}],"version-history":[{"count":1,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/2004\/revisions"}],"predecessor-version":[{"id":2005,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/2004\/revisions\/2005"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/media\/1958"}],"wp:attachment":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/media?parent=2004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/categories?post=2004"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/tags?post=2004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}