{"url":"/task/category-agnostic-pose-estimation","name":"Category-Agnostic Pose Estimation","slug":"category-agnostic-pose-estimation","description_markdown":"Category-Agnostic Pose Estimation (CAPE) aims to create a pose estimation model capable of detecting the pose of any class of object given only a few samples with keypoint definition.","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":"derived"},"counts":{"papers_tagged":15,"papers_with_code":11,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"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":0,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/category-agnostic-pose-estimation-on-mp100","slug":"category-agnostic-pose-estimation-on-mp100","dataset":"MP100","dataset_url":null,"rows_in_archive":5,"metrics":["Mean PCK@0.2 - 1shot"],"first_row_in_archive_order":{"model":"CapeLLM","paper_title":"CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models","paper_url":"/paper/capellm-support-free-category-agnostic-pose","paper_date":"2024-11-11","arxiv_id":"2411.06869","code_links":[],"syntology":null}}],"datasets":[],"subtasks":[],"parent_tasks":[{"url":"/task/2d-pose-estimation","name":"2D Pose Estimation"}],"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":11,"of":11,"tagged_in_all":15,"items":[{"url":"/paper/model-agnostic-meta-learning-for-fast","title":"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks","date":"2017-03-09","arxiv_id":"1703.03400","repositories_listed":85,"syntology":{"n":154,"n_ran":86,"n_unverified":68,"n_pointer_only":57}},{"url":"/paper/prototypical-networks-for-few-shot-learning","title":"Prototypical Networks for Few-shot Learning","date":"2017-03-15","arxiv_id":"1703.05175","repositories_listed":43,"syntology":{"n":64,"n_ran":49,"n_unverified":15,"n_pointer_only":18}},{"url":"/paper/pose-anything-a-graph-based-approach-for","title":"A Graph-Based Approach for Category-Agnostic Pose Estimation","date":"2023-11-29","arxiv_id":"2311.17891","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/recurrent-feature-mining-and-keypoint-mixup","title":"Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation","date":"2025-03-27","arxiv_id":"2503.21140","repositories_listed":1,"syntology":null},{"url":"/paper/edge-weight-prediction-for-category-agnostic","title":"Edge Weight Prediction For Category-Agnostic Pose Estimation","date":"2024-11-25","arxiv_id":"2411.16665","repositories_listed":1,"syntology":null},{"url":"/paper/scape-a-simple-and-strong-category-agnostic","title":"SCAPE: A Simple and Strong Category-Agnostic Pose Estimator","date":"2024-07-18","arxiv_id":"2407.13483","repositories_listed":1,"syntology":{"n":7,"n_ran":4,"n_unverified":3,"n_pointer_only":7}},{"url":"/paper/capex-category-agnostic-pose-estimation-from","title":"CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation","date":"2024-06-01","arxiv_id":"2406.00384","repositories_listed":1,"syntology":null},{"url":"/paper/meta-point-learning-and-refining-for-category","title":"Meta-Point Learning and Refining for Category-Agnostic Pose Estimation","date":"2024-03-20","arxiv_id":"2403.13647","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/escape-encoding-super-keypoints-for-category","title":"ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/matching-is-not-enough-a-two-stage-framework","title":"Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/pose-for-everything-towards-category-agnostic","title":"Pose for Everything: Towards Category-Agnostic Pose Estimation","date":"2022-07-21","arxiv_id":"2207.10387","repositories_listed":1,"syntology":{"n":3,"n_ran":0,"n_unverified":3,"n_pointer_only":0}}],"syntology_records":6,"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"}}