{"url":"/dataset/davis-s","name":"DAVIS-S","full_name":null,"description_markdown":"To enrich the diversity, we also collect 92 images which are suitable for saliency detection from DAVIS [27], a densely annotated high-resolution video segmentation dataset. Im- ages in this dataset are precisely annotated and have very high resolutions (i.e.,1920!1080). We ignore the categories of the objects and generate saliency ground truth masks for this dataset. For convenience, the collected dataset is denot- ed as DAVIS-S.","description_withheld":null,"homepage":"https://github.com/yi94code/HRSOD","introduced_date":"2019-08-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-high-resolution-salient-object","title":"Towards High-Resolution Salient Object Detection","first_author":"Yi Zeng","url":null},"license":null,"modalities":[],"tasks":[{"name":"RGB Salient Object Detection","url":"/task/salient-object-detection","datasets_with_task":"/datasets/task/salient-object-detection"}],"languages":[],"variants":["DAVIS-S"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/rgb-salient-object-detection-on-davis-s","task":"RGB Salient Object Detection","dataset_variant":"DAVIS-S","rows":12,"metrics":["S-measure","F-measure","MAE","mBA"],"first_row_in_archive_order":{"model":"BiRefNet (HRSOD, UHRSD)","paper":"/paper/bilateral-reference-for-high-resolution","metrics":{"F-measure":"0.980","MAE":"0.006","S-measure":"0.976"},"code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/bilateral-reference-for-high-resolution","title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","date":"2024-01-07","rows_on_this_dataset":5,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":13,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/revisiting-image-pyramid-structure-for-high","title":"Revisiting Image Pyramid Structure for High Resolution Salient Object Detection","date":"2022-09-20","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":3,"samples_unverified":8,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/pyramid-grafting-network-for-one-stage-high","title":"Pyramid Grafting Network for One-Stage High Resolution Saliency Detection","date":"2022-04-11","rows_on_this_dataset":3,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":4,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/disentangled-high-quality-salient-object","title":"Disentangled High Quality Salient Object Detection","date":"2021-08-08","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/towards-high-resolution-salient-object","title":"Towards High-Resolution Salient Object Detection","date":"2019-08-20","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":33,"samples_ran":20,"samples_unverified":13,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}