{"url":"/sota/gaze-estimation-on-gaze360","task":{"name":"Gaze Estimation","url":"/task/gaze-estimation","note":null},"dataset":{"name":"Gaze360","url":"/dataset/gaze360"},"category":"Computer Vision","categories":["Computer Vision"],"category_note":null,"description":"**Gaze Estimation** is a task to predict where a person is looking at given the person’s full face. The task contains two directions: 3-D gaze vector and 2-D gaze position estimation. 3-D gaze vector estimation is to predict the gaze vector, which is usually used in the automotive safety. 2-D gaze position estimation is to predict the horizontal and vertical coordinates on a 2-D screen, which allows utilizing gaze point to control a cursor for human-machine interaction.\n\n\n<span class=\"description-source\">Source: [A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone ](https://arxiv.org/abs/1910.07331)</span>","description_from":"task","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","rank":"the archive's row order at snapshot; not re-ranked","rows_end_at":"2025-07-28","rows_withheld_as_spam":0,"metric_values":"the archive's strings, untouched"},"metrics":["Angular Error"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"Angular Error":"lower"}},"counts":{"rows":4,"rows_with_code":4,"rows_with_paper_page":4,"rows_dated":4,"rows_using_additional_data":1},"rows":[{"rank_in_archive_order":1,"model":"MCGaze","metrics":{"Angular Error":"10.02"},"uses_additional_data":false,"paper_date":"2023-10-27","paper":"/paper/end-to-end-video-gaze-estimation-via","paper_url":"https://arxiv.org/abs/2310.18131v3","paper_title":"End-to-end Video Gaze Estimation via Capturing Head-face-eye Spatial-temporal Interaction Context","code":"https://github.com/zgchen33/mcgaze","n_code_links":1,"syntology":null},{"rank_in_archive_order":2,"model":"L2CS","metrics":{"Angular Error":"10.41"},"uses_additional_data":true,"paper_date":"2022-03-07","paper":"/paper/l2cs-net-fine-grained-gaze-estimation-in","paper_url":"https://arxiv.org/abs/2203.03339v1","paper_title":"L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments","code":"https://github.com/ahmednull/l2cs-net","n_code_links":2,"syntology":{"n_ran":5,"n_unverified":5,"n_samples":10,"n_pointer_only_licence":2}},{"rank_in_archive_order":3,"model":"ResNet-18","metrics":{"Angular Error":"12.94"},"uses_additional_data":false,"paper_date":"2021-05-20","paper":"/paper/weakly-supervised-physically-unconstrained","paper_url":"https://arxiv.org/abs/2105.09803v1","paper_title":"Weakly-Supervised Physically Unconstrained Gaze Estimation","code":"https://github.com/yakhyo/gaze-estimation","n_code_links":2,"syntology":null},{"rank_in_archive_order":4,"model":"ResNet-18","metrics":{"Angular Error":"13.5"},"uses_additional_data":false,"paper_date":"2019-10-22","paper":"/paper/gaze360-physically-unconstrained-gaze","paper_url":"https://arxiv.org/abs/1910.10088v1","paper_title":"Gaze360: Physically Unconstrained Gaze Estimation in the Wild","code":"https://github.com/erkil1452/gaze360","n_code_links":2,"syntology":null}],"since_archive":{"present":false,"note":"No Syntology-extracted rows are published in this build."},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per row: N of M harvested code samples from that row's paper executed on a synthesized fixture; the other M-N are unverified. Not a reproduction of the row's number; not a correctness claim. n_pointer_only_licence counts samples the site points at rather than redistributes (a licence axis, independent of ran/unverified).","rows_with_graph_line":1,"rows_with_any_sample_ran":1,"distinct_papers_with_graph_line":1,"distinct_papers_with_any_sample_ran":1,"samples_over_distinct_papers":{"n_ran":5,"n_unverified":5,"n_samples":10,"n_pointer_only_licence":2,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":5,"n_unverified":5,"n_samples":10,"n_pointer_only_licence":2,"note":"row-weighted: a paper behind several rows is counted once per row; inflated relative to samples_over_distinct_papers by design, kept for readers summing the per-row syntology blocks"}}}