{"url":"/sota/face-alignment-on-ibug","task":{"name":"Face Alignment","url":"/task/face-alignment","note":null},"dataset":{"name":"IBUG","url":null},"category":"Computer Vision","categories":["Computer Vision","Miscellaneous","Music"],"category_note":null,"description":"Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.\r\n\r\n<span style=\"color:grey; opacity: 0.6\">( Image credit: [3DDFA_V2](https://github.com/cleardusk/3DDFA_V2) )</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":["Mean Error Rate"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"Mean Error Rate":"lower"}},"counts":{"rows":2,"rows_with_code":2,"rows_with_paper_page":2,"rows_dated":2,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"DenseU-Net + Dual Transformer","metrics":{"Mean Error Rate":"6.73%"},"uses_additional_data":false,"paper_date":"2018-12-05","paper":"/paper/stacked-dense-u-nets-with-dual-transformers","paper_url":"http://arxiv.org/abs/1812.01936v1","paper_title":"Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment","code":"https://github.com/deepinsight/insightface","n_code_links":3,"syntology":null},{"rank_in_archive_order":2,"model":"DCFE (inter pupils normalization)","metrics":{"Mean Error Rate":"7.54%"},"uses_additional_data":false,"paper_date":"2018-09-01","paper":"/paper/a-deeply-initialized-coarse-to-fine-ensemble","paper_url":"http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html","paper_title":"A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment","code":"https://github.com/bobetocalo/bobetocalo_eccv18","n_code_links":1,"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":0,"rows_with_any_sample_ran":0,"distinct_papers_with_graph_line":0,"distinct_papers_with_any_sample_ran":0,"samples_over_distinct_papers":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"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"}}}