{"id":26529,"date":"2025-04-02T13:11:01","date_gmt":"2025-04-02T06:11:01","guid":{"rendered":"https:\/\/interdata.vn\/blog\/?p=26529"},"modified":"2025-04-02T13:11:01","modified_gmt":"2025-04-02T06:11:01","slug":"triplet-loss-la-gi","status":"publish","type":"post","link":"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/","title":{"rendered":"Triplet loss l\u00e0 g\u00ec? \u1ee8ng d\u1ee5ng Triplet Loss trong Deep learning"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-white ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">N\u1ed8I DUNG<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Triplet-loss-la-gi\" >Triplet loss l\u00e0 g\u00ec?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Tai-sao-nen-su-dung-Triplet-Loss\" >T\u1ea1i sao n\u00ean s\u1eed d\u1ee5ng Triplet Loss?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Ung-dung-pho-bien-cua-Triplet-Loss\" >\u1ee8ng d\u1ee5ng ph\u1ed5 bi\u1ebfn c\u1ee7a Triplet Loss<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Theo-doi-doi-tuong-Object-tracking\" >Theo d\u00f5i \u0111\u1ed1i t\u01b0\u1ee3ng (Object tracking)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Phan-loai-van-ban-Text-classification\" >Ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n (Text classification)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Nhan-dien-khuon-mat-Facial-recognition\" >Nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t (Facial recognition)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Cach-trien-khai-triplet-loss\" >C\u00e1ch tri\u1ec3n khai triplet loss<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Tinh-toan-ma-tran-khoang-cach\" >T\u00ednh to\u00e1n ma tr\u1eadn kho\u1ea3ng c\u00e1ch<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Chien-luoc-%E2%80%9Cbatch-all%E2%80%9D\" >Chi\u1ebfn l\u01b0\u1ee3c \u201cbatch all\u201d<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/#Chien-luoc-%E2%80%9Cbatch-hard%E2%80%9D\" >Chi\u1ebfn l\u01b0\u1ee3c \u201cbatch hard\u201d<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<p>Triplet loss l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt ph\u1ed5 bi\u1ebfn trong h\u1ecdc s\u00e2u gi\u00fap m\u00f4 h\u00ecnh h\u1ecdc c\u00e1ch ph\u00e2n bi\u1ec7t s\u1ef1 t\u01b0\u01a1ng \u0111\u1ed3ng v\u00e0 kh\u00e1c bi\u1ec7t gi\u1eefa c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd gi\u00fap b\u1ea1n hi\u1ec3u r\u00f5 <a href=\"https:\/\/interdata.vn\/blog\/triplet-loss-la-gi\/\"><strong>triplet loss l\u00e0 g\u00ec<\/strong><\/a>, l\u00fd do t\u1ea1i sao n\u00ean s\u1eed d\u1ee5ng, nh\u1eefng \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf n\u1ed5i b\u1eadt nh\u01b0 nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t, ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n, theo d\u00f5i \u0111\u1ed1i t\u01b0\u1ee3ng. \u0110\u1ecdc ngay!<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Triplet-loss-la-gi\"><\/span>Triplet loss l\u00e0 g\u00ec?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>Triplet loss<\/strong> <strong>l\u00e0 m\u1ed9t ph\u01b0\u01a1ng ph\u00e1p gi\u00fap<\/strong> <strong>hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u nh\u1eadn bi\u1ebft s\u1ef1 t\u01b0\u01a1ng \u0111\u1ed3ng ho\u1eb7c kh\u00e1c bi\u1ec7t gi\u1eefa c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng<\/strong>. Ph\u01b0\u01a1ng ph\u00e1p n\u00e0y s\u1eed d\u1ee5ng c\u00e1c nh\u00f3m g\u1ed3m ba ph\u1ea7n t\u1eed, g\u1ecdi l\u00e0 triplet, bao g\u1ed3m m\u1ed9t \u0111\u1ed1i t\u01b0\u1ee3ng l\u00e0m m\u1ed1c (anchor), m\u1ed9t \u0111\u1ed1i t\u01b0\u1ee3ng t\u01b0\u01a1ng t\u1ef1 (positive) v\u00e0 m\u1ed9t \u0111\u1ed1i t\u01b0\u1ee3ng kh\u00f4ng gi\u1ed1ng (negative).<\/p>\n<p>M\u1ee5c ti\u00eau l\u00e0 gi\u00fap m\u00f4 h\u00ecnh hi\u1ec3u r\u1eb1ng \u0111\u1ed1i t\u01b0\u1ee3ng m\u1ed1c g\u1ea7n v\u1edbi \u0111\u1ed1i t\u01b0\u1ee3ng t\u01b0\u01a1ng t\u1ef1 h\u01a1n l\u00e0 \u0111\u1ed1i t\u01b0\u1ee3ng kh\u00f4ng gi\u1ed1ng. \u0110i\u1ec1u n\u00e0y gi\u00fap m\u00f4 h\u00ecnh ph\u00e2n bi\u1ec7t hi\u1ec7u qu\u1ea3 h\u01a1n gi\u1eefa nh\u1eefng \u0111\u1ed1i t\u01b0\u1ee3ng gi\u1ed1ng v\u00e0 kh\u00e1c nhau.<\/p>\n<figure id=\"attachment_26531\" aria-describedby=\"caption-attachment-26531\" style=\"width: 800px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/interdata.vn\/blog\/wp-content\/uploads\/2025\/04\/Triplet-loss-la-gi.png\" alt=\"Triplet loss l\u00e0 g\u00ec?\" width=\"800\" height=\"500\" class=\"size-full wp-image-26531\" title=\"\" srcset=\"https:\/\/interdata.vn\/blog\/wp-content\/uploads\/2025\/04\/Triplet-loss-la-gi.png 800w, https:\/\/interdata.vn\/blog\/wp-content\/uploads\/2025\/04\/Triplet-loss-la-gi-300x188.png 300w, https:\/\/interdata.vn\/blog\/wp-content\/uploads\/2025\/04\/Triplet-loss-la-gi-768x480.png 768w, https:\/\/interdata.vn\/blog\/wp-content\/uploads\/2025\/04\/Triplet-loss-la-gi-750x469.png 750w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><figcaption id=\"caption-attachment-26531\" class=\"wp-caption-text\">Triplet loss l\u00e0 g\u00ec?<\/figcaption><\/figure>\n<p>V\u00ed d\u1ee5, trong b\u00e0i to\u00e1n nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t, m\u00f4 h\u00ecnh s\u1ebd so s\u00e1nh hai khu\u00f4n m\u1eb7t ch\u01b0a t\u1eebng th\u1ea5y v\u00e0 x\u00e1c \u0111\u1ecbnh xem ch\u00fang c\u00f3 thu\u1ed9c v\u1ec1 c\u00f9ng m\u1ed9t ng\u01b0\u1eddi hay kh\u00f4ng. Tr\u01b0\u1eddng h\u1ee3p n\u00e0y s\u1eed d\u1ee5ng triplet loss \u0111\u1ec3 h\u1ecdc ra bi\u1ec3u di\u1ec5n s\u1ed1 (embedding) cho t\u1eebng khu\u00f4n m\u1eb7t. C\u00e1c khu\u00f4n m\u1eb7t thu\u1ed9c c\u00f9ng m\u1ed9t ng\u01b0\u1eddi n\u00ean n\u1eb1m g\u1ea7n nhau trong kh\u00f4ng gian bi\u1ec3u di\u1ec5n v\u00e0 t\u1ea1o th\u00e0nh c\u00e1c c\u1ee5m t\u00e1ch bi\u1ec7t r\u00f5 r\u00e0ng.<\/p>\n<p>M\u1ee5c ti\u00eau c\u1ee7a triplet loss l\u00e0 <strong>x\u00e2y d\u1ef1ng m\u1ed9t kh\u00f4ng gian bi\u1ec3u di\u1ec5n<\/strong> m\u00e0 trong \u0111\u00f3, kho\u1ea3ng c\u00e1ch gi\u1eefa c\u00e1c m\u1eabu gi\u1ed1ng nhau s\u1ebd nh\u1ecf h\u01a1n kho\u1ea3ng c\u00e1ch gi\u1eefa c\u00e1c m\u1eabu kh\u00e1c nhau. B\u1eb1ng c\u00e1ch ki\u1ec3m so\u00e1t th\u1ee9 t\u1ef1 kho\u1ea3ng c\u00e1ch, triplet loss gi\u00fap m\u00f4 h\u00ecnh s\u1eafp x\u1ebfp sao cho c\u00e1c m\u1eabu c\u00f9ng nh\u00e3n s\u1ebd g\u1ea7n nhau h\u01a1n c\u00e1c m\u1eabu mang nh\u00e3n kh\u00e1c.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Tai-sao-nen-su-dung-Triplet-Loss\"><\/span>T\u1ea1i sao n\u00ean s\u1eed d\u1ee5ng Triplet Loss?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Sau khi hi\u1ec3u triplet loss l\u00e0 g\u00ec, c\u00f9ng t\u00ecm hi\u1ec3u xem l\u00fd do v\u00ec sao n\u00ean s\u1eed d\u1ee5ng triplet loss. Triplet Loss \u0111\u1eb7c bi\u1ec7t h\u1eefu \u00edch trong c\u00e1c tr\u01b0\u1eddng h\u1ee3p sau:<\/p>\n<ul>\n<li><strong>Ph\u00e2n bi\u1ec7t chi ti\u1ebft quan tr\u1ecdng<\/strong>: Trong c\u00e1c b\u00e0i to\u00e1n nh\u01b0 nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t, n\u01a1i c\u1ea7n nh\u1eadn bi\u1ebft nh\u1eefng kh\u00e1c bi\u1ec7t tinh vi.<\/li>\n<li><strong>Ph\u00e2n b\u1ed1 l\u1edbp kh\u00f4ng \u0111\u1ed3ng \u0111\u1ec1u<\/strong>: V\u00ec triplet loss t\u1eadp trung v\u00e0o kho\u1ea3ng c\u00e1ch t\u01b0\u01a1ng \u0111\u1ed1i ch\u1ee9 kh\u00f4ng ph\u1ea3i v\u1ecb tr\u00ed tuy\u1ec7t \u0111\u1ed1i trong kh\u00f4ng gian bi\u1ec3u di\u1ec5n.<\/li>\n<li><strong>H\u1ecdc \u0111\u1eb7c tr\u01b0ng ph\u00e2n bi\u1ec7t<\/strong>: N\u00f3 bu\u1ed9c m\u00f4 h\u00ecnh ph\u1ea3i ch\u00fa \u00fd \u0111\u1ebfn c\u00e1c \u0111\u1eb7c tr\u01b0ng gi\u00fap ph\u00e2n bi\u1ec7t gi\u1eefa c\u00e1c l\u1edbp kh\u00e1c nhau.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Ung-dung-pho-bien-cua-Triplet-Loss\"><\/span>\u1ee8ng d\u1ee5ng ph\u1ed5 bi\u1ebfn c\u1ee7a Triplet Loss<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>H\u00e3y c\u00f9ng \u0111i\u1ec3m qua nh\u1eefng \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf ph\u1ed5 bi\u1ebfn nh\u1ea5t c\u1ee7a triplet loss.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Theo-doi-doi-tuong-Object-tracking\"><\/span>Theo d\u00f5i \u0111\u1ed1i t\u01b0\u1ee3ng (Object tracking)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Trong c\u00e1c h\u1ec7 th\u1ed1ng theo d\u00f5i \u0111\u1ed1i t\u01b0\u1ee3ng, triplet loss \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 <strong>h\u1ecdc bi\u1ec3u di\u1ec5n \u0111\u1eb7c tr\u01b0ng<\/strong> gi\u00fap nh\u1eadn di\u1ec7n v\u00e0 theo d\u00f5i c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng theo th\u1eddi gian. M\u1ee5c ti\u00eau l\u00e0 tr\u00edch xu\u1ea5t vector \u0111\u1eb7c tr\u01b0ng cho c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng trong c\u00e1c khung h\u00ecnh li\u00ean ti\u1ebfp, sau \u0111\u00f3 \u00e1p d\u1ee5ng triplet loss \u0111\u1ec3 hu\u1ea5n luy\u1ec7n bi\u1ec3u di\u1ec5n \u0111\u1eb7c tr\u01b0ng nh\u1eb1m ph\u00e2n bi\u1ec7t c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng kh\u00e1c nhau v\u00e0 theo d\u00f5i ch\u00fang theo th\u1eddi gian.<\/p>\n<p>Ph\u01b0\u01a1ng ph\u00e1p n\u00e0y gi\u00fap<strong> t\u0103ng \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 kh\u1ea3 n\u0103ng ch\u1ecbu l\u1ed7i c\u1ee7a h\u1ec7 th\u1ed1ng<\/strong> theo d\u00f5i, \u0111\u1eb7c bi\u1ec7t trong nh\u1eefng t\u00ecnh hu\u1ed1ng kh\u00f3 nh\u01b0 b\u1ecb che khu\u1ea5t, m\u1edd do chuy\u1ec3n \u0111\u1ed9ng ho\u1eb7c thay \u0111\u1ed5i \u0111i\u1ec1u ki\u1ec7n \u00e1nh s\u00e1ng.<\/p>\n<figure id=\"attachment_26532\" aria-describedby=\"caption-attachment-26532\" style=\"width: 640px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/interdata.vn\/blog\/wp-content\/uploads\/2025\/04\/Ung-dung-cua-Triplet-loss.jpg\" alt=\"\u1ee8ng d\u1ee5ng ph\u1ed5 bi\u1ebfn c\u1ee7a Triplet loss\" width=\"640\" height=\"480\" class=\"wp-image-26532 size-full\" title=\"\" srcset=\"https:\/\/interdata.vn\/blog\/wp-content\/uploads\/2025\/04\/Ung-dung-cua-Triplet-loss.jpg 640w, https:\/\/interdata.vn\/blog\/wp-content\/uploads\/2025\/04\/Ung-dung-cua-Triplet-loss-300x225.jpg 300w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><figcaption id=\"caption-attachment-26532\" class=\"wp-caption-text\">\u1ee8ng d\u1ee5ng ph\u1ed5 bi\u1ebfn c\u1ee7a Triplet loss<\/figcaption><\/figure>\n<h3><span class=\"ez-toc-section\" id=\"Phan-loai-van-ban-Text-classification\"><\/span>Ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n (Text classification)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>H\u00e0m triplet loss c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 <strong>h\u1ecdc bi\u1ec3u di\u1ec5n \u0111\u1eb7c tr\u01b0ng cho d\u1eef li\u1ec7u v\u0103n b\u1ea3n<\/strong>. M\u1ed7i t\u00e0i li\u1ec7u \u0111\u01b0\u1ee3c bi\u1ec3u di\u1ec5n nh\u01b0 m\u1ed9t chu\u1ed7i c\u00e1c embedding t\u1eeb. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p m\u1ea1ng h\u1ecdc \u0111\u01b0\u1ee3c bi\u1ec3u di\u1ec5n \u0111\u1eb7c tr\u01b0ng c\u00f3 kh\u1ea3 n\u0103ng ph\u00e2n bi\u1ec7t gi\u1eefa c\u00e1c l\u1edbp kh\u00e1c nhau ho\u1eb7c c\u00e1c tr\u01b0\u1eddng h\u1ee3p xu\u1ea5t hi\u1ec7n kh\u00e1c nhau c\u1ee7a v\u0103n b\u1ea3n, ngay c\u1ea3 khi c\u00e1c embedding t\u1eeb t\u01b0\u01a1ng \u0111\u1ed1i gi\u1ed1ng nhau.<\/p>\n<p>Nh\u1edd \u0111\u00f3, m\u1ea1ng c\u00f3 th\u1ec3 t\u0103ng \u0111\u1ed9 ch\u00ednh x\u00e1c cho c\u00e1c m\u00f4 h\u00ecnh ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n b\u1eb1ng c\u00e1ch n\u1eafm b\u1eaft \u0111\u01b0\u1ee3c c\u00e1c kh\u00e1c bi\u1ec7t tinh t\u1ebf gi\u1eefa c\u00e1c \u0111o\u1ea1n v\u0103n b\u1ea3n kh\u00e1c nhau.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Nhan-dien-khuon-mat-Facial-recognition\"><\/span>Nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t (Facial recognition)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Triplet loss th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u00e1c h\u1ec7 th\u1ed1ng nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t \u0111\u1ec3 x\u00e2y d\u1ef1ng bi\u1ec3u di\u1ec5n \u0111\u1eb7c tr\u01b0ng cho khu\u00f4n m\u1eb7t, gi\u00fap ph\u00e2n bi\u1ec7t v\u00e0 nh\u1eadn d\u1ea1ng nhi\u1ec1u ng\u01b0\u1eddi kh\u00e1c nhau.<\/p>\n<p>H\u00e0m loss n\u00e0y c\u1ed1 g\u1eafng gi\u1ea3m kho\u1ea3ng c\u00e1ch gi\u1eefa embedding c\u1ee7a \u1ea3nh khu\u00f4n m\u1eb7t anchor v\u00e0 \u1ea3nh t\u01b0\u01a1ng t\u1ef1 (positive), \u0111\u1ed3ng th\u1eddi t\u0103ng kho\u1ea3ng c\u00e1ch gi\u1eefa anchor v\u00e0 \u1ea3nh kh\u00f4ng gi\u1ed1ng (negative).<\/p>\n<p>Khi \u0111\u00e3 h\u1ecdc xong, bi\u1ec3u di\u1ec5n \u0111\u1eb7c tr\u01b0ng n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 <strong>so s\u00e1nh vector \u0111\u1eb7c tr\u01b0ng c\u1ee7a \u1ea3nh khu\u00f4n m\u1eb7t m\u1edbi v\u1edbi c\u01a1 s\u1edf d\u1eef li\u1ec7u<\/strong>, ph\u1ee5c v\u1ee5 c\u00e1c \u1ee9ng d\u1ee5ng x\u00e1c th\u1ef1c danh t\u00ednh theo th\u1eddi gian th\u1ef1c.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Cach-trien-khai-triplet-loss\"><\/span>C\u00e1ch tri\u1ec3n khai triplet loss<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>InterData s\u1ebd c\u00f9ng b\u1ea1n t\u00ecm hi\u1ec3u c\u00e1ch tri\u1ec3n khai triplet loss t\u1eebng b\u01b0\u1edbc b\u1eb1ng PyTorch.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Tinh-toan-ma-tran-khoang-cach\"><\/span>T\u00ednh to\u00e1n ma tr\u1eadn kho\u1ea3ng c\u00e1ch<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>B\u01b0\u1edbc \u0111\u1ea7u ti\u00ean \u0111\u1ec3 tri\u1ec3n khai triplet loss l\u00e0 t\u00ednh to\u00e1n ma tr\u1eadn kho\u1ea3ng c\u00e1ch gi\u1eefa c\u00e1c m\u1eabu anchor, positive v\u00e0 negative.<\/p>\n<p>Ta c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng kho\u1ea3ng c\u00e1ch Euclidean l\u00e0m th\u01b0\u1edbc \u0111o kho\u1ea3ng c\u00e1ch. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t \u0111o\u1ea1n m\u00e3 m\u1eabu \u0111\u1ec3 t\u00ednh ma tr\u1eadn kho\u1ea3ng c\u00e1ch:<\/p>\n<pre>import torch\r\n\r\ndef euclidean_distance(x, y):\r\n\"\"\"\r\nCompute Euclidean distance between two tensors.\r\n\"\"\"\r\nreturn torch.pow(x - y, 2).sum(dim=1)\r\n\r\ndef compute_distance_matrix(anchor, positive, negative):\r\n\"\"\"\r\nCompute distance matrix between anchor, positive, and negative samples.\r\n\"\"\"\r\ndistance_matrix = torch.zeros(anchor.size(0), 3)\r\ndistance_matrix[:, 0] = euclidean_distance(anchor, anchor)\r\ndistance_matrix[:, 1] = euclidean_distance(anchor, positive)\r\ndistance_matrix[:, 2] = euclidean_distance(anchor, negative)\r\nreturn distance_matrix<\/pre>\n<p>Trong \u0111o\u1ea1n m\u00e3 n\u00e0y, ta \u0111\u1ecbnh ngh\u0129a m\u1ed9t h\u00e0m <code>euclidean_distance<\/code> \u0111\u1ec3 t\u00ednh kho\u1ea3ng c\u00e1ch Euclidean gi\u1eefa hai tensor.<\/p>\n<p>Ti\u1ebfp theo, ta \u0111\u1ecbnh ngh\u0129a h\u00e0m <code>compute_distance_matrix<\/code> nh\u1eadn v\u00e0o c\u00e1c m\u1eabu anchor, positive v\u00e0 negative, v\u00e0 t\u00ednh to\u00e1n ma tr\u1eadn kho\u1ea3ng c\u00e1ch gi\u1eefa ch\u00fang.<\/p>\n<p>Ma tr\u1eadn kho\u1ea3ng c\u00e1ch l\u00e0 m\u1ed9t tensor c\u00f3 k\u00edch th\u01b0\u1edbc <code>(batch_size, 3)<\/code>. C\u1ed9t \u0111\u1ea7u ti\u00ean ch\u1ee9a kho\u1ea3ng c\u00e1ch gi\u1eefa c\u00e1c m\u1eabu anchor, c\u1ed9t th\u1ee9 hai l\u00e0 kho\u1ea3ng c\u00e1ch gi\u1eefa anchor v\u00e0 positive, c\u00f2n c\u1ed9t th\u1ee9 ba l\u00e0 kho\u1ea3ng c\u00e1ch gi\u1eefa anchor v\u00e0 negative.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Chien-luoc-%E2%80%9Cbatch-all%E2%80%9D\"><\/span>Chi\u1ebfn l\u01b0\u1ee3c \u201cbatch all\u201d<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>D\u01b0\u1edbi \u0111\u00e2y l\u00e0 \u0111o\u1ea1n m\u00e3 m\u1eabu \u0111\u1ec3 tri\u1ec3n khai chi\u1ebfn l\u01b0\u1ee3c \u201cbatch all\u201d:<\/p>\n<pre>import torch.nn.functional as F\r\n\r\ndef batch_all_triplet_loss(anchor, positive, negative, margin=0.2):\r\n\"\"\"\r\nCompute triplet loss using the batch all strategy.\r\n\"\"\"\r\ndistance_matrix = compute_distance_matrix(anchor, positive, negative)\r\nloss = torch.max(torch.tensor(0.0), distance_matrix[:, 0] - distance_matrix[:, 1] + margin)\r\nloss += torch.max(torch.tensor(0.0), distance_matrix[:, 0] - distance_matrix[:, 2] + margin)\r\nreturn torch.mean(loss)<\/pre>\n<p>Trong \u0111o\u1ea1n m\u00e3 n\u00e0y, ta \u0111\u1ecbnh ngh\u0129a h\u00e0m <code>batch_all_triplet_loss<\/code> nh\u1eadn v\u00e0o c\u00e1c m\u1eabu anchor, positive v\u00e0 negative, v\u00e0 t\u00ednh to\u00e1n triplet loss theo chi\u1ebfn l\u01b0\u1ee3c \u201cbatch all\u201d. Tham s\u1ed1 <code>margin<\/code> s\u1ebd ki\u1ec3m so\u00e1t kho\u1ea3ng c\u00e1ch t\u1ed1i thi\u1ec3u gi\u1eefa anchor v\u00e0 negative.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Chien-luoc-%E2%80%9Cbatch-hard%E2%80%9D\"><\/span>Chi\u1ebfn l\u01b0\u1ee3c \u201cbatch hard\u201d<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>D\u01b0\u1edbi \u0111\u00e2y l\u00e0 \u0111o\u1ea1n m\u00e3 m\u1eabu \u0111\u1ec3 tri\u1ec3n khai chi\u1ebfn l\u01b0\u1ee3c \u201cbatch hard\u201d:<\/p>\n<pre>import torch\r\n\r\ndef batch_hard_triplet_loss(anchor, positive, negative, margin=0.2):\r\n\"\"\"\r\nCompute triplet loss using the batch hard strategy.\r\n\"\"\"\r\ndistance_matrix = compute_distance_matrix(anchor, positive, negative)\r\nhard_negative = torch.argmax(distance_matrix[:, 2])\r\nloss = torch.max(torch.tensor(0.0), distance_matrix[:, 0] - distance_matrix[:, 1] + margin)\r\nloss += torch.max(torch.tensor(0.0), distance_matrix[:, 0][hard_negative] - distance_matrix[:, 2] + margin)\r\nreturn torch.mean(loss)<\/pre>\n<p>\u0110o\u1ea1n m\u00e3 n\u00e0y tri\u1ec3n khai chi\u1ebfn l\u01b0\u1ee3c \u201cbatch hard\u201d \u0111\u1ec3 t\u00ednh to\u00e1n triplet loss. H\u00e0m <code>batch_hard_triplet_loss<\/code> nh\u1eadn v\u00e0o c\u00e1c m\u1eabu anchor, positive v\u00e0 negative c\u00f9ng v\u1edbi tham s\u1ed1 <code>margin<\/code>, ki\u1ec3m so\u00e1t kho\u1ea3ng c\u00e1ch t\u1ed1i thi\u1ec3u gi\u1eefa anchor v\u00e0 negative.<\/p>\n<p>\u0110\u1ea7u ti\u00ean, h\u00e0m t\u00ednh to\u00e1n ma tr\u1eadn kho\u1ea3ng c\u00e1ch gi\u1eefa c\u00e1c m\u1eabu b\u1eb1ng h\u00e0m <code>compute_distance_matrix<\/code>. Sau \u0111\u00f3, n\u00f3 t\u00ecm ch\u1ec9 s\u1ed1 c\u1ee7a m\u1eabu negative \u201ckh\u00f3 nh\u1ea5t\u201d \u2014 t\u1ee9c l\u00e0 m\u1eabu c\u00f3 kho\u1ea3ng c\u00e1ch l\u1edbn nh\u1ea5t v\u1edbi anchor, s\u1eed d\u1ee5ng h\u00e0m <code>torch.argmax<\/code> tr\u00ean c\u1ed9t th\u1ee9 ba c\u1ee7a ma tr\u1eadn kho\u1ea3ng c\u00e1ch.<\/p>\n<p>Sau \u0111\u00f3, h\u00e0m t\u00ednh to\u00e1n triplet loss theo c\u00f4ng th\u1ee9c:<\/p>\n<p><code>max(d(a,p) - d(a,n) + margin, 0) + max(d(a,n_hard) - d(a,p) + margin, 0)<\/code><\/p>\n<p>trong \u0111\u00f3 <code>d(a, b)<\/code> l\u00e0 kho\u1ea3ng c\u00e1ch Euclidean gi\u1eefa hai m\u1eabu a v\u00e0 b.<\/p>\n<p>Th\u00e0nh ph\u1ea7n \u0111\u1ea7u ti\u00ean trong loss t\u01b0\u01a1ng t\u1ef1 nh\u01b0 chi\u1ebfn l\u01b0\u1ee3c \u201cbatch all\u201d, v\u1edbi m\u1ee5c ti\u00eau gi\u1ea3m kho\u1ea3ng c\u00e1ch gi\u1eefa anchor v\u00e0 positive, \u0111\u1ed3ng th\u1eddi t\u0103ng kho\u1ea3ng c\u00e1ch gi\u1eefa anchor v\u00e0 negative.<\/p>\n<p>Th\u00e0nh ph\u1ea7n th\u1ee9 hai ch\u1ec9 t\u1eadp trung v\u00e0o m\u1eabu negative kh\u00f3 nh\u1ea5t. N\u00f3 nh\u1eb1m m\u1ee5c \u0111\u00edch t\u1ed1i \u0111a h\u00f3a kho\u1ea3ng c\u00e1ch gi\u1eefa anchor v\u00e0 negative kh\u00f3 nh\u1ea5t, \u0111\u1ed3ng th\u1eddi gi\u1eef kho\u1ea3ng c\u00e1ch gi\u1eefa anchor v\u00e0 positive l\u1edbn h\u01a1n <code>margin<\/code>. Cu\u1ed1i c\u00f9ng, h\u00e0m tr\u1ea3 v\u1ec1 gi\u00e1 tr\u1ecb trung b\u00ecnh c\u1ee7a loss tr\u00ean to\u00e0n b\u1ed9 c\u00e1c m\u1eabu trong batch b\u1eb1ng h\u00e0m <code>torch.mean<\/code>.<\/p>\n<p><strong>Triplet loss<\/strong> mang \u0111\u1ebfn m\u1ed9t <strong>h\u01b0\u1edbng ti\u1ebfp c\u1eadn m\u1ea1nh m\u1ebd<\/strong> trong vi\u1ec7c hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u \u0111\u1ec3 h\u1ecdc \u0111\u1eb7c tr\u01b0ng ph\u00e2n bi\u1ec7t hi\u1ec7u qu\u1ea3. T\u1eeb nh\u1eadn di\u1ec7n khu\u00f4n m\u1eb7t cho \u0111\u1ebfn ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n hay theo d\u00f5i \u0111\u1ed1i t\u01b0\u1ee3ng, ph\u01b0\u01a1ng ph\u00e1p n\u00e0y cho ph\u00e9p t\u1ea1o ra c\u00e1c bi\u1ec3u di\u1ec5n \u0111\u1eb7c tr\u01b0ng r\u00f5 r\u00e0ng, ch\u00ednh x\u00e1c v\u00e0 c\u00f3 kh\u1ea3 n\u0103ng \u1ee9ng d\u1ee5ng cao trong th\u1ef1c t\u1ebf.<\/p>\n<p>Khi \u0111\u01b0\u1ee3c tri\u1ec3n khai \u0111\u00fang c\u00e1ch, \u0111\u1eb7c bi\u1ec7t v\u1edbi c\u00e1c chi\u1ebfn l\u01b0\u1ee3c nh\u01b0 \u201cbatch all\u201d v\u00e0 \u201cbatch hard\u201d, triplet loss c\u00f3 th\u1ec3 gi\u00fap b\u1ea1n t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh m\u1ed9t c\u00e1ch b\u1ec1n v\u1eefng v\u00e0 \u0111\u00e1ng tin c\u1eady.<\/p>\n<p><strong>INTERDATA<\/strong><\/p>\n<ul>\n<li><strong><a href=\"https:\/\/interdata.vn\/blog\/website-la-gi\/\">Website<\/a>:<\/strong>\u00a0Interdata.vn<\/li>\n<li><strong>Hotline:<\/strong>\u00a01900-636822<\/li>\n<li><strong>Email:<\/strong>\u00a0Info@interdata.vn<\/li>\n<li><strong>VP\u0110D:<\/strong>\u00a0240 Nguy\u1ec5n \u0110\u00ecnh Ch\u00ednh, P.11. Q. Ph\u00fa Nhu\u1eadn, TP. Ho\u0302\u0300 Ch\u00ed Minh<\/li>\n<li><strong>VPGD:<\/strong> S\u1ed1 211 \u0110\u01b0\u1eddng s\u1ed1 5, K\u0110T Lakeview City, P. An Ph\u00fa, TP. Th\u1ee7 \u0110\u1ee9c, TP. H\u1ed3 Ch\u00ed Minh<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Triplet loss l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt ph\u1ed5 bi\u1ebfn trong h\u1ecdc s\u00e2u gi\u00fap m\u00f4 h\u00ecnh h\u1ecdc c\u00e1ch ph\u00e2n bi\u1ec7t s\u1ef1 t\u01b0\u01a1ng \u0111\u1ed3ng v\u00e0 kh\u00e1c bi\u1ec7t gi\u1eefa c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd gi\u00fap b\u1ea1n hi\u1ec3u r\u00f5 triplet loss l\u00e0 g\u00ec, l\u00fd do t\u1ea1i sao n\u00ean s\u1eed d\u1ee5ng, nh\u1eefng \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf n\u1ed5i b\u1eadt nh\u01b0<\/p>\n","protected":false},"author":11,"featured_media":26533,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[108],"tags":[],"class_list":["post-26529","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/posts\/26529","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/comments?post=26529"}],"version-history":[{"count":3,"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/posts\/26529\/revisions"}],"predecessor-version":[{"id":26535,"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/posts\/26529\/revisions\/26535"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/media\/26533"}],"wp:attachment":[{"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/media?parent=26529"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/categories?post=26529"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/interdata.vn\/blog\/wp-json\/wp\/v2\/tags?post=26529"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}