{"id":40013,"date":"2023-12-11T14:00:11","date_gmt":"2023-12-11T07:00:11","guid":{"rendered":"https:\/\/gymadom.com\/?p=40013"},"modified":"2023-12-18T15:52:24","modified_gmt":"2023-12-18T08:52:24","slug":"bai-bao-sinh-vien-duoc-chap-nhan-tai-hoi-nghi-aaai-2024","status":"publish","type":"post","link":"https:\/\/gymadom.com\/bai-bao-sinh-vien-duoc-chap-nhan-tai-hoi-nghi-aaai-2024\/","title":{"rendered":"B\u00c0I B\u00c1O SINH VI\u00caN \u0110\u01af\u1ee2C CH\u1ea4P NH\u1eacN T\u1ea0I H\u1ed8I NGH\u1eca AAAI 2024"},"content":{"rendered":"<div id=\"cmsmasters_row_\" class=\"cmsmasters_row cmsmasters_color_scheme_default cmsmasters_row_top_default cmsmasters_row_bot_default cmsmasters_row_boxed\">\n<div class=\"cmsmasters_row_outer_parent\">\n<div class=\"cmsmasters_row_outer\">\n<div class=\"cmsmasters_row_inner\">\n<div class=\"cmsmasters_row_margin\">\n<div id=\"cmsmasters_column_\" class=\"cmsmasters_column one_first\">\n<div class=\"cmsmasters_column_inner\"><div class=\"cmsmasters_text\">\n<p>B\u00e0i b\u00e1o <em>\u201c\ud835\udc0c\ud835\udc1a\ud835\udc2c\ud835\udc24\ud835\udc03\ud835\udc22\ud835\udc1f\ud835\udc1f: \ud835\udc0c\ud835\udc28\ud835\udc1d\ud835\udc1e\ud835\udc25\ud835\udc22\ud835\udc27\ud835\udc20 \ud835\udc0c\ud835\udc1a\ud835\udc2c\ud835\udc24 \ud835\udc03\ud835\udc22\ud835\udc2c\ud835\udc2d\ud835\udc2b\ud835\udc22\ud835\udc1b\ud835\udc2e\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27 \ud835\udc30\ud835\udc22\ud835\udc2d\ud835\udc21 \ud835\udc03\ud835\udc22\ud835\udc1f\ud835\udc1f\ud835\udc2e\ud835\udc2c\ud835\udc22\ud835\udc28\ud835\udc27 \ud835\udc0f\ud835\udc2b\ud835\udc28\ud835\udc1b\ud835\udc1a\ud835\udc1b\ud835\udc22\ud835\udc25\ud835\udc22\ud835\udc2c\ud835\udc2d\ud835\udc22\ud835\udc1c \ud835\udc0c\ud835\udc28\ud835\udc1d\ud835\udc1e\ud835\udc25 \ud835\udc1f\ud835\udc28\ud835\udc2b \ud835\udc05\ud835\udc1e\ud835\udc30-\ud835\udc12\ud835\udc21\ud835\udc28\ud835\udc2d \ud835\udc08\ud835\udc27\ud835\udc2c\ud835\udc2d\ud835\udc1a\ud835\udc27\ud835\udc1c\ud835\udc1e \ud835\udc12\ud835\udc1e\ud835\udc20\ud835\udc26\ud835\udc1e\ud835\udc27\ud835\udc2d\ud835\udc1a\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27\u201d<\/em> (\ud835\ude14\ud835\ude2a\ud835\ude2f\ud835\ude29-\ud835\ude18\ud835\ude36\ud835\ude22\ud835\ude2f \ud835\ude13\ud835\ude26, \ud835\ude1b\ud835\ude22\ud835\ude2e \ud835\ude1d. \ud835\ude15\ud835\ude28\ud835\ude36\ud835\ude3a\ud835\ude26\ud835\ude2f, \ud835\ude1b\ud835\ude33\ud835\ude36\ud835\ude2f\ud835\ude28-\ud835\ude15\ud835\ude28\ud835\ude29\ud835\ude2a\ud835\ude22 \ud835\ude13\ud835\ude26, \ud835\ude1b\ud835\ude29\ud835\ude22\ud835\ude2f\ud835\ude29-\ud835\ude1b\ud835\ude30\ud835\ude22\ud835\ude2f \ud835\ude0b\ud835\ude30, \ud835\ude14\ud835\ude2a\ud835\ude2f\ud835\ude29 \ud835\ude15. \ud835\ude0b\ud835\ude30, \ud835\ude14\ud835\ude2a\ud835\ude2f\ud835\ude29-\ud835\ude1b\ud835\ude33\ud835\ude2a\ud835\ude26\ud835\ude35 \ud835\ude1b\ud835\ude33\ud835\ude22\ud835\ude2f) v\u1eeba \u0111\u01b0\u1ee3c ch\u1ea5p nh\u1eadn t\u1ea1i h\u1ed9i ngh\u1ecb AAAI 2024 (main conference &#8211; rank A*, acceptance rate 23.75%), m\u1ed9t trong nh\u1eefng h\u1ed9i ngh\u1ecb h\u00e0ng \u0111\u1ea7u th\u1ebf gi\u1edbi v\u1ec1 Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o.<\/p>\n<\/p>\n<p>T\u00e1c gi\u1ea3 ch\u00ednh L\u00ea Minh Qu\u00e2n l\u00e0 Th\u1ee7 khoa tuy\u1ec3n sinh Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc t\u1ef1 nhi\u00ean, \u0110HQG-HCM n\u0103m 2018 v\u00e0 l\u00e0 c\u1ef1u sinh vi\u00ean l\u1edbp C\u1eed Nh\u00e2n T\u00e0i N\u0103ng khoa C\u00f4ng ngh\u1ec7 Th\u00f4ng tin kh\u00f3a 2018. Em Qu\u00e2n l\u00e0 nghi\u00ean c\u1ee9u vi\u00ean t\u1ea1i Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc T\u1ef1 nhi\u00ean v\u00e0 v\u1eeba \u0111\u01b0\u1ee3c Tr\u01b0\u1eddng c\u1eed \u0111i h\u1ecdc Ti\u1ebfn s\u0129 t\u1ea1i Stony Brook University (Hoa K\u1ef3).<br \/>B\u00e0i b\u00e1o l\u00e0 k\u1ebft qu\u1ea3 t\u1eeb kh\u00f3a lu\u1eadn t\u1ed1t nghi\u1ec7p \u0110\u1ea1i h\u1ecdc c\u1ee7a em L\u00ea Minh Qu\u00e2n, \u0111\u1ea1t gi\u1ea3i Nh\u00ec Eureka n\u0103m 2022. \u0110\u1ec1 t\u00e0i \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n v\u1edbi s\u1ef1 h\u01b0\u1edbng d\u1eabn, h\u1ed7 tr\u1ee3 t\u1eeb c\u00e1c th\u1ea7y c\u1ee7a University of Dayton (Hoa K\u1ef3), University of Illinois at Urbana-Champaign (Hoa K\u1ef3), Monash University (\u00dac) v\u00e0 Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc Khoa h\u1ecdc T\u1ef1 nhi\u00ean, \u0110HQG-HCM.<\/p>\n<\/p>\n<ul>\n<li><strong>Link b\u00e0i b\u00e1o:<\/strong>\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2303.05105?fbclid=IwAR0RqHAkqYgX00DvJKOjzthHLYvUaOqKGm6Ed4x_sH142Oq19NQwCuDNiMQ\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/arxiv.org\/abs\/2303.05105<\/a><\/li>\n<\/ul>\n<p><em><strong>T\u00f3m t\u1eaft n\u1ed9i dung:<\/strong><\/em> Few-shot instance segmentation extends the few-shot learning paradigm to the instance segmentation task, which tries to segment instance objects from a query image with a few annotated examples of novel categories. Conventional approaches have attempted to address the task via prototype learning, known as point estimation. However, this mechanism is susceptible to noise and suffers from bias due to a significant scarcity of data. To overcome the disadvantages of the point estimation mechanism, we propose a novel approach, dubbed MaskDiff, which models the underlying conditional distribution of a binary mask, which is conditioned on an object region and K-shot information. Inspired by augmentation approaches that perturb data with Gaussian noise for populating low data density regions, we model the mask distribution with a diffusion probabilistic model. In addition, we propose to utilize classifier-free guided mask sampling to integrate category information into the binary mask generation process. Without bells and whistles, our proposed method consistently outperforms state-of-the-art methods on both base and novel classes of the COCO dataset while simultaneously being more stable than existing methods.<\/p>\n<\/p>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"B\u00e0i b\u00e1o \u201c\ud835\udc0c\ud835\udc1a\ud835\udc2c\ud835\udc24\ud835\udc03\ud835\udc22\ud835\udc1f\ud835\udc1f: \ud835\udc0c\ud835\udc28\ud835\udc1d\ud835\udc1e\ud835\udc25\ud835\udc22\ud835\udc27\ud835\udc20 \ud835\udc0c\ud835\udc1a\ud835\udc2c\ud835\udc24 \ud835\udc03\ud835\udc22\ud835\udc2c\ud835\udc2d\ud835\udc2b\ud835\udc22\ud835\udc1b\ud835\udc2e\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27 \ud835\udc30\ud835\udc22\ud835\udc2d\ud835\udc21 \ud835\udc03\ud835\udc22\ud835\udc1f\ud835\udc1f\ud835\udc2e\ud835\udc2c\ud835\udc22\ud835\udc28\ud835\udc27 \ud835\udc0f\ud835\udc2b\ud835\udc28\ud835\udc1b\ud835\udc1a\ud835\udc1b\ud835\udc22\ud835\udc25\ud835\udc22\ud835\udc2c\ud835\udc2d\ud835\udc22\ud835\udc1c \ud835\udc0c\ud835\udc28\ud835\udc1d\ud835\udc1e\ud835\udc25 \ud835\udc1f\ud835\udc28\ud835\udc2b \ud835\udc05\ud835\udc1e\ud835\udc30-\ud835\udc12\ud835\udc21\ud835\udc28\ud835\udc2d \ud835\udc08\ud835\udc27\ud835\udc2c\ud835\udc2d\ud835\udc1a\ud835\udc27\ud835\udc1c\ud835\udc1e \ud835\udc12\ud835\udc1e\ud835\udc20\ud835\udc26\ud835\udc1e\ud835\udc27\ud835\udc2d\ud835\udc1a\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27\u201d (\ud835\ude14\ud835\ude2a\ud835\ude2f\ud835\ude29-\ud835\ude18\ud835\ude36\ud835\ude22\ud835\ude2f \ud835\ude13\ud835\ude26, \ud835\ude1b\ud835\ude22\ud835\ude2e \ud835\ude1d. \ud835\ude15\ud835\ude28\ud835\ude36\ud835\ude3a\ud835\ude26\ud835\ude2f, \ud835\ude1b\ud835\ude33\ud835\ude36\ud835\ude2f\ud835\ude28-\ud835\ude15\ud835\ude28\ud835\ude29\ud835\ude2a\ud835\ude22 \ud835\ude13\ud835\ude26, \ud835\ude1b\ud835\ude29\ud835\ude22\ud835\ude2f\ud835\ude29-\ud835\ude1b\ud835\ude30\ud835\ude22\ud835\ude2f \ud835\ude0b\ud835\ude30, \ud835\ude14\ud835\ude2a\ud835\ude2f\ud835\ude29 \ud835\ude15. \ud835\ude0b\ud835\ude30, \ud835\ude14\ud835\ude2a\ud835\ude2f\ud835\ude29-\ud835\ude1b\ud835\ude33\ud835\ude2a\ud835\ude26\ud835\ude35 \ud835\ude1b\ud835\ude33\ud835\ude22\ud835\ude2f) v\u1eeba \u0111\u01b0\u1ee3c...","protected":false},"author":25,"featured_media":40016,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[260],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/40013"}],"collection":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/comments?post=40013"}],"version-history":[{"count":3,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/40013\/revisions"}],"predecessor-version":[{"id":40017,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/40013\/revisions\/40017"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/media\/40016"}],"wp:attachment":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/media?parent=40013"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/categories?post=40013"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/tags?post=40013"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}