{"url":"/sota/face-swapping-on-hod","task":{"name":"Face Swapping","url":"/task/face-swapping","note":null},"dataset":{"name":"HOD","url":"/dataset/hod"},"category":null,"categories":["Adversarial","Audio","Computer Code","Computer Vision","Graphs","Knowledge Base","Medical","Miscellaneous","Music","Playing Games","Robots","Time Series"],"category_note":"the archive's category list for this table covers most areas; treated as no area assigned","description":"Face swapping refers to the task of swapping faces between images or in an video, while maintaining the rest of the body and environment context.\r\n\r\n<span style=\"color:grey; opacity: 0.6\">( Image credit: [Swapped Face Detection using Deep Learning and Subjective Assessment](https://arxiv.org/pdf/1909.04217v1.pdf) )</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":["0-shot MRR"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"0-shot MRR":"higher"}},"counts":{"rows":1,"rows_with_code":1,"rows_with_paper_page":1,"rows_dated":1,"rows_using_additional_data":1},"rows":[{"rank_in_archive_order":1,"model":"Work","metrics":{"0-shot MRR":"Good"},"uses_additional_data":true,"paper_date":"2023-11-18","paper":"/paper/joyful-joint-modality-fusion-and-graph","paper_url":"https://arxiv.org/abs/2311.11009v1","paper_title":"Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition","code":"https://github.com/wykstc/MERC-main","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"}}}