{"url":"/task/3d-facial-expression-recognition","name":"3D Facial Expression Recognition","slug":"3d-facial-expression-recognition","description_markdown":"3D facial expression recognition is the task of modelling facial expressions in 3D from an image or video.\r\n\r\n<span style=\"color:grey; opacity: 0.6\">( Image credit: [Expression-Net](https://github.com/fengju514/Expression-Net) )</span>","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":13,"papers_with_code":2,"benchmarks":1,"benchmark_tables_in_archive":2,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":1,"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":4,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/3d-facial-expression-recognition-on-2017_test","slug":"3d-facial-expression-recognition-on-2017_test","dataset":"2017_test set","dataset_url":null,"rows_in_archive":1,"metrics":["14 gestures accuracy"],"first_row_in_archive_order":{"model":"aan","paper_title":"ExpNet: Landmark-Free, Deep, 3D Facial Expressions","paper_url":"/paper/expnet-landmark-free-deep-3d-facial","paper_date":"2018-02-02","arxiv_id":"1802.00542","code_links":[{"title":"fengju514/Expression-Net","url":"https://github.com/fengju514/Expression-Net"}],"syntology":null}}],"datasets":[{"url":"/dataset/florence-4d","name":"Florence 4D","full_name":"","num_papers_in_archive":3},{"url":"/dataset/fer2013-blendshapes","name":"FER2013 Blendshapes","full_name":"FER2013 blendshapes dataset example (Partial)","num_papers_in_archive":1},{"url":"/dataset/4458-people-3d-facial-expressions-recognition","name":"4,458 People - 3D Facial Expressions Recognition Data","full_name":"4,458 People - 3D Facial Expressions Recognition Data","num_papers_in_archive":0},{"url":"/dataset/headset","name":"HEADSET","full_name":"HEADSET: Human Emotion Awareness under Partial Occlusions Multimodal DataSET","num_papers_in_archive":0}],"subtasks":[],"parent_tasks":[{"url":"/task/facial-expression-recognition","name":"Facial Expression Recognition (FER)"}],"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":2,"of":2,"tagged_in_all":13,"items":[{"url":"/paper/emotion-estimation-from-video-footage-with","title":"Emotion estimation from video footage with LSTM","date":"2025-01-23","arxiv_id":"2501.13432","repositories_listed":1,"syntology":null},{"url":"/paper/expnet-landmark-free-deep-3d-facial","title":"ExpNet: Landmark-Free, Deep, 3D Facial Expressions","date":"2018-02-02","arxiv_id":"1802.00542","repositories_listed":1,"syntology":null}],"syntology_records":0,"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"}}