{"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/w-talc-weakly-supervised-temporal-activity","title":"W-TALC: Weakly-supervised Temporal Activity Localization and Classification","arxiv_id":"1807.10418","date":"2018-07-27","proceeding":"ECCV 2018 9","authors":["Sujoy Paul","Sourya Roy","Amit K. Roy-Chowdhury"],"abstract":"Most activity localization methods in the literature suffer from the burden\nof frame-wise annotation requirement. Learning from weak labels may be a\npotential solution towards reducing such manual labeling effort. Recent years\nhave witnessed a substantial influx of tagged videos on the Internet, which can\nserve as a rich source of weakly-supervised training data. Specifically, the\ncorrelations between videos with similar tags can be utilized to temporally\nlocalize the activities. Towards this goal, we present W-TALC, a\nWeakly-supervised Temporal Activity Localization and Classification framework\nusing only video-level labels. The proposed network can be divided into two\nsub-networks, namely the Two-Stream based feature extractor network and a\nweakly-supervised module, which we learn by optimizing two complimentary loss\nfunctions. Qualitative and quantitative results on two challenging datasets -\nThumos14 and ActivityNet1.2, demonstrate that the proposed method is able to\ndetect activities at a fine granularity and achieve better performance than\ncurrent state-of-the-art methods.","url_abs":"http://arxiv.org/abs/1807.10418v3","url_pdf":"http://arxiv.org/pdf/1807.10418v3.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":"w-talc-weakly-supervised-temporal-activity","repo_url":"https://github.com/sujoyp/wtalc-pytorch","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"weakly-supervised-action-localization","task_name":"Weakly Supervised Action Localization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/action-classification-on-activitynet-12","task":"Action Classification","dataset":"ActivityNet-1.2","model":"W-TALC","rank_in_archive_order":1,"of":3,"metrics":{"mAP":"93.2"},"uses_additional_data":false},{"leaderboard":"/sota/action-classification-on-thumos14","task":"Action Classification","dataset":"THUMOS’14","model":"W-TALC","rank_in_archive_order":2,"of":3,"metrics":{"mAP":"85.6"},"uses_additional_data":false},{"leaderboard":"/sota/weakly-supervised-action-localization-on-2","task":"Weakly Supervised Action Localization","dataset":"ActivityNet-1.2","model":"W-TALC","rank_in_archive_order":16,"of":19,"metrics":{"mAP@0.5":"37.0"},"uses_additional_data":false},{"leaderboard":"/sota/weakly-supervised-action-localization-on-7","task":"Weakly Supervised Action Localization","dataset":"FineAction","model":"W-TALC","rank_in_archive_order":2,"of":4,"metrics":{"mAP":"3.45","mAP IOU@0.5":"6.18","mAP IOU@0.75":"3.15","mAP IOU@0.95":"0.83"},"uses_additional_data":false},{"leaderboard":"/sota/weakly-supervised-action-localization-on","task":"Weakly Supervised Action Localization","dataset":"THUMOS 2014","model":"W-TALC","rank_in_archive_order":27,"of":30,"metrics":{"mAP@0.1:0.7":"-","mAP@0.5":"22.8"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1807.10418","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1807.10418"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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