{"url":"/dataset/caer","name":"CAER","full_name":null,"description_markdown":"Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, Kwanghoon Sohn; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 10143-10152","description_withheld":null,"homepage":"https://caer-dataset.github.io/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Facial Expression Recognition (FER)","url":"/task/facial-expression-recognition","datasets_with_task":"/datasets/task/facial-expression-recognition"},{"name":"Emotion Recognition in Context","url":"/task/emotion-recognition-in-context","datasets_with_task":"/datasets/task/emotion-recognition-in-context"}],"languages":[],"variants":["CAER"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/emotion-recognition-in-context-on-caer-1","task":"Emotion Recognition in Context","dataset_variant":"CAER","rows":3,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"A. Xenos et al","paper":"/paper/vllms-provide-better-context-for-emotion","metrics":{"Accuracy":"93.08"},"code_links":[{"title":"nickyfot/emocommonsense","url":"https://github.com/nickyfot/emocommonsense"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/facial-expression-recognition-fer-on-caer","task":"Facial Expression Recognition (FER)","dataset_variant":"CAER","rows":1,"metrics":["Accuracy "],"first_row_in_archive_order":{"model":"EfficientFace","paper":"/paper/robust-lightweight-facial-expression","metrics":{"Accuracy ":"85.87"},"code_links":[{"title":"zengqunzhao/efficientface","url":"https://github.com/zengqunzhao/efficientface"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/vllms-provide-better-context-for-emotion","title":"VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning","date":"2024-04-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/robust-lightweight-facial-expression","title":"Robust Lightweight Facial Expression Recognition Network with Label Distribution Training","date":"2021-05-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/emoticon-context-aware-multimodal-emotion","title":"EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle","date":"2020-03-14","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/context-aware-emotion-recognition-networks","title":"Context-Aware Emotion Recognition Networks","date":"2019-08-16","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}