{"id":3655,"date":"2023-03-20T16:55:38","date_gmt":"2023-03-20T08:55:38","guid":{"rendered":"http:\/\/www.cgs-network.org\/cgi23\/?page_id=3655"},"modified":"2023-05-08T21:48:43","modified_gmt":"2023-05-08T13:48:43","slug":"cgi-clslr2023","status":"publish","type":"page","link":"http:\/\/www.cgs-network.org\/cgi23\/cgi-clslr2023\/","title":{"rendered":"CGI-Combined training on large-scale data for sign language recognition (CGI-CLSLR2023) Challenge"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">Challenge Introduction<\/h3>\n\n\n\n<p>The lack of large-scale data severely hinders the progress of sign language recognition (SLR), as manually collecting and labeling sign videos is rather time-consuming. To facilitate SLR, we release a new large-scale Chinese dataset, which can generate a large number of samples in a novel cost- controlled manner. With only a few sub-videos, hundreds of videos could be synthesized by combining different sub-video pairs. Inference is performed on normally recorded videos. <br>This competition hopes to demonstrate the effectiveness of large-scale data on SLR, i.e., training on the combinatorial data and testing on the complete data. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Challenge Organization<\/h3>\n\n\n\n<p><strong>Challenge Co-Chairs<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Wei Feng, Tianjin University, China<\/li><li>Di Lin, Tianjin University, China<br>E-mail: <a href=\"mailto:Ande.lin1988@gmail.com\"><strong>Ande.lin1988@gmail.com<\/strong><\/a><a href=\"mailto:derick0320@foxmail.com\"> <\/a><\/li><\/ul>\n\n\n\n<p><strong>Organizing Team <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Wei Feng, Tianjin University, China<\/li><li>Di Lin, Tianjin University, China <\/li><li>Qing Guo, Agency for Science, Technology and Research (A*<em>STAR<\/em>), Singapore<\/li><li>Zhensong Zhang, Huawei, China<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Challenge Webpage<\/h3>\n\n\n\n<p><a rel=\"noreferrer noopener\" aria-label=\"CGI-CLSLR2023\uff08\u5728\u65b0\u7a97\u53e3\u6253\u5f00\uff09\" href=\"https:\/\/codalab.lisn.upsaclay.fr\/competitions\/11491\" target=\"_blank\"><em><strong>CGI-CLSLR2023<\/strong><\/em><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Challenge Contact<\/h3>\n\n\n\n<p>Di Lin, Tianjin University, China<br>E-mail: <a href=\"mailto:Ande.lin1988@gmail.com\"><strong>Ande.lin1988@gmail.com<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Challenge Introduction The lac &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3655","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/www.cgs-network.org\/cgi23\/wp-json\/wp\/v2\/pages\/3655","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.cgs-network.org\/cgi23\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.cgs-network.org\/cgi23\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.cgs-network.org\/cgi23\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.cgs-network.org\/cgi23\/wp-json\/wp\/v2\/comments?post=3655"}],"version-history":[{"count":8,"href":"http:\/\/www.cgs-network.org\/cgi23\/wp-json\/wp\/v2\/pages\/3655\/revisions"}],"predecessor-version":[{"id":3818,"href":"http:\/\/www.cgs-network.org\/cgi23\/wp-json\/wp\/v2\/pages\/3655\/revisions\/3818"}],"wp:attachment":[{"href":"http:\/\/www.cgs-network.org\/cgi23\/wp-json\/wp\/v2\/media?parent=3655"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}