{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/multi-task-learning-by-deep-collaboration-and","title":"Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection","arxiv_id":"1711.00111","date":"2017-10-28","proceeding":"ICLR 2018 1","authors":["Ludovic Trottier","Philippe Giguère","Brahim Chaib-Draa"],"abstract":"Convolutional neural networks (CNNs) have become the most successful approach\nin many vision-related domains. However, they are limited to domains where data\nis abundant. Recent works have looked at multi-task learning (MTL) to mitigate\ndata scarcity by leveraging domain-specific information from related tasks. In\nthis paper, we present a novel soft-parameter sharing mechanism for CNNs in a\nMTL setting, which we refer to as Deep Collaboration. We propose taking into\naccount the notion that task relevance depends on depth by using lateral\ntransformation blocs with skip connections. This allows extracting\ntask-specific features at various depth without sacrificing features relevant\nto all tasks. We show that CNNs connected with our Deep Collaboration obtain\nbetter accuracy on facial landmark detection with related tasks. We finally\nverify that our approach effectively allows knowledge sharing by showing\ndepth-specific influence of tasks that we know are related.","url_abs":"http://arxiv.org/abs/1711.00111v2","url_pdf":"http://arxiv.org/pdf/1711.00111v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"multi-task-learning-by-deep-collaboration-and","repo_url":"https://github.com/ltrottier/deep-collaboration-network","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"facial-landmark-detection","task_name":"Facial Landmark Detection"},{"task_slug":"multi-task-learning","task_name":"Multi-Task Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}