{"url":"/task/emotion-recognition-in-context","name":"Emotion Recognition in Context","slug":"emotion-recognition-in-context","description_markdown":null,"categories":[{"name":"Audio","url":"/area/audio"},{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Miscellaneous","url":"/area/miscellaneous"},{"name":"Natural Language Processing","url":"/area/natural-language-processing"},{"name":"Speech","url":"/area/speech"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":8,"papers_with_code":5,"benchmarks":4,"benchmark_tables_in_archive":4,"benchmark_tables_shown":4,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":6,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/emotion-recognition-in-context-on-emotic","slug":"emotion-recognition-in-context-on-emotic","dataset":"EMOTIC","dataset_url":"/dataset/emotic","rows_in_archive":9,"metrics":["mAP"],"first_row_in_archive_order":{"model":"A. Xenos et al","paper_title":"VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning","paper_url":"/paper/vllms-provide-better-context-for-emotion","paper_date":"2024-04-10","arxiv_id":"2404.07078","code_links":[{"title":"nickyfot/emocommonsense","url":"https://github.com/nickyfot/emocommonsense"}],"syntology":null}},{"leaderboard":"/sota/emotion-recognition-in-context-on-bold","slug":"emotion-recognition-in-context-on-bold","dataset":"BoLD","dataset_url":"/dataset/bold","rows_in_archive":3,"metrics":["Average mAP","AUC"],"first_row_in_archive_order":{"model":"A. Xenos et al","paper_title":"VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning","paper_url":"/paper/vllms-provide-better-context-for-emotion","paper_date":"2024-04-10","arxiv_id":"2404.07078","code_links":[{"title":"nickyfot/emocommonsense","url":"https://github.com/nickyfot/emocommonsense"}],"syntology":null}},{"leaderboard":"/sota/emotion-recognition-in-context-on-caer-1","slug":"emotion-recognition-in-context-on-caer-1","dataset":"CAER","dataset_url":"/dataset/caer","rows_in_archive":3,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"A. Xenos et al","paper_title":"VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning","paper_url":"/paper/vllms-provide-better-context-for-emotion","paper_date":"2024-04-10","arxiv_id":"2404.07078","code_links":[{"title":"nickyfot/emocommonsense","url":"https://github.com/nickyfot/emocommonsense"}],"syntology":null}},{"leaderboard":"/sota/emotion-recognition-in-context-on-caer","slug":"emotion-recognition-in-context-on-caer","dataset":"CAER-Dynamic","dataset_url":"/dataset/caer-dynamic","rows_in_archive":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"CAER-Net","paper_title":"Context-Aware Emotion Recognition Networks","paper_url":"/paper/context-aware-emotion-recognition-networks","paper_date":"2019-08-16","arxiv_id":"1908.05913","code_links":[{"title":"ankurbhatia24/MULTIMODAL-EMOTION-RECOGNITION","url":"https://github.com/ankurbhatia24/MULTIMODAL-EMOTION-RECOGNITION"}],"syntology":null}}],"datasets":[{"url":"/dataset/emotic","name":"EMOTIC","full_name":"EMOTIons in Context","num_papers_in_archive":38},{"url":"/dataset/bold","name":"BoLD","full_name":"Body Language Dataset","num_papers_in_archive":14},{"url":"/dataset/caer","name":"CAER","full_name":"","num_papers_in_archive":5},{"url":"/dataset/emotional-dialogue-acts","name":"Emotional Dialogue Acts","full_name":"","num_papers_in_archive":3},{"url":"/dataset/caer-dynamic","name":"CAER-Dynamic","full_name":"","num_papers_in_archive":1},{"url":"/dataset/kd-emor","name":"KD-EmoR","full_name":"Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[{"url":"/task/emotion-recognition","name":"Emotion Recognition"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":5,"of":5,"tagged_in_all":8,"items":[{"url":"/paper/context-based-emotion-recognition-using","title":"Context Based Emotion Recognition using EMOTIC Dataset","date":"2020-03-30","arxiv_id":"2003.13401","repositories_listed":3,"syntology":null},{"url":"/paper/vllms-provide-better-context-for-emotion","title":"VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning","date":"2024-04-10","arxiv_id":"2404.07078","repositories_listed":1,"syntology":null},{"url":"/paper/learning-emotion-representations-from-verbal-1","title":"Learning Emotion Representations from Verbal and Nonverbal Communication","date":"2023-05-22","arxiv_id":"2305.13500","repositories_listed":1,"syntology":{"n":29,"n_ran":10,"n_unverified":19,"n_pointer_only":0}},{"url":"/paper/leveraging-semantic-scene-characteristics-and","title":"Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild","date":"2021-05-16","arxiv_id":"2105.07484","repositories_listed":1,"syntology":null},{"url":"/paper/context-aware-emotion-recognition-networks","title":"Context-Aware Emotion Recognition Networks","date":"2019-08-16","arxiv_id":"1908.05913","repositories_listed":1,"syntology":null}],"syntology_records":1,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}