{"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/attention-based-context-aware-reasoning-for","title":"Attention-Based Context Aware Reasoning for Situation Recognition","arxiv_id":null,"date":"2020-06-01","proceeding":"CVPR 2020 6","authors":["Thilini Cooray"," Ngai-Man Cheung"," Wei Lu"],"abstract":"Situation Recognition (SR) is a fine-grained action recognition task where the model is expected to not only predict the salient action of the image, but also predict values of all associated semantic roles of the action. Predicting semantic roles is very challenging: a vast variety of possibilities can be the match for a semantic role. Existing work has focused on dependency modelling architectures to solve this issue. Inspired by the success achieved by query-based visual reasoning (e.g., Visual Question Answering), we propose to address semantic role prediction as a query-based visual reasoning problem. However, existing query-based reasoning methods have not considered handling of inter-dependent queries which is a unique requirement of semantic role prediction in SR. Therefore, to the best of our knowledge, we propose the first set of methods to address inter-dependent queries in query-based visual reasoning. Extensive experiments demonstrate the effectiveness of our proposed method which achieves outstanding performance on Situation Recognition task. Furthermore, leveraging query inter-dependency, our methods improve upon a state-of-the-art method that answers queries separately. Our code: https://github.com/thilinicooray/context-aware-reasoning-for-sr\r","url_abs":"http://openaccess.thecvf.com/content_CVPR_2020/html/Cooray_Attention-Based_Context_Aware_Reasoning_for_Situation_Recognition_CVPR_2020_paper.html","url_pdf":"http://openaccess.thecvf.com/content_CVPR_2020/papers/Cooray_Attention-Based_Context_Aware_Reasoning_for_Situation_Recognition_CVPR_2020_paper.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":"attention-based-context-aware-reasoning-for","repo_url":"https://github.com/thilinicooray/context-aware-reasoning-for-sr","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"action-recognition-in-videos","task_name":"Action Recognition"},{"task_slug":"fine-grained-action-recognition","task_name":"Fine-grained Action Recognition"},{"task_slug":"grounded-situation-recognition","task_name":"Grounded Situation Recognition"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"situation-recognition","task_name":"Situation Recognition"},{"task_slug":"visual-question-answering-1","task_name":"Visual Question Answering"},{"task_slug":"visual-question-answering","task_name":"Visual Question Answering (VQA)"},{"task_slug":"visual-reasoning","task_name":"Visual Reasoning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/grounded-situation-recognition-on-swig","task":"Grounded Situation Recognition","dataset":"SWiG","model":"CAQ + RE-VGG","rank_in_archive_order":9,"of":13,"metrics":{"Top-1 Verb":"38.19","Top-1 Verb & Value":"30.23","Top-5 Verbs":"65.05","Top-5 Verbs & Value":"50.21"},"uses_additional_data":false},{"leaderboard":"/sota/situation-recognition-on-imsitu","task":"Situation Recognition","dataset":"imSitu","model":"CAQ + RE-VGG","rank_in_archive_order":9,"of":13,"metrics":{"Top-1 Verb":"38.19","Top-1 Verb & Value":"30.23","Top-5 Verbs":"65.05","Top-5 Verbs & Value":"50.21"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}