{"url":"/dataset/sip","name":"SIP","full_name":"Salient Person","description_markdown":"The **Salient Person** dataset (**SIP**) contains 929 salient person samples with different poses and illumination conditions.\r\n\r\nSource: [Accurate RGB-D Salient Object Detection via Collaborative Learning](https://arxiv.org/abs/2007.11782)\r\nImage Source: [https://arxiv.org/pdf/1907.06781.pdf](https://arxiv.org/pdf/1907.06781.pdf)","description_withheld":null,"homepage":"https://github.com/DengPingFan/D3NetBenchmark","introduced_date":"2019-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/rethinking-rgb-d-salient-object-detection","title":"Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks","first_author":"Deng-Ping Fan","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"RGB-D Salient Object Detection","url":"/task/rgb-d-salient-object-detection","datasets_with_task":"/datasets/task/rgb-d-salient-object-detection"}],"languages":[],"variants":["SIP"],"data_loaders":[],"num_papers_in_archive":61,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/rgb-d-salient-object-detection-on-sip","task":"RGB-D Salient Object Detection","dataset_variant":"SIP","rows":16,"metrics":["S-Measure","Average MAE","max E-Measure","max F-Measure"],"first_row_in_archive_order":{"model":"DFormer-L","paper":"/paper/dformer-rethinking-rgbd-representation","metrics":{"Average MAE":"0.032","S-Measure":"91.5","max E-Measure":"95.0","max F-Measure":"93.8"},"code_links":[{"title":"VCIP-RGBD/DFormer","url":"https://github.com/VCIP-RGBD/DFormer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/cola-conditional-dropout-and-language-driven","title":"CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection","date":"2024-07-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":8,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/dformer-rethinking-rgbd-representation","title":"DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation","date":"2023-09-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/spsn-superpixel-prototype-sampling-network","title":"SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection","date":"2022-07-16","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/visual-saliency-transformer","title":"Visual Saliency Transformer","date":"2021-04-25","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":7,"samples_unverified":4,"pointer_only_for_licence":11,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/bts-net-bi-directional-transfer-and-selection","title":"BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection","date":"2021-04-05","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/densely-deformable-efficient-salient-object","title":"Densely Deformable Efficient Salient Object Detection Network","date":"2021-02-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/uncertainty-inspired-rgb-d-saliency-detection","title":"Uncertainty Inspired RGB-D Saliency Detection","date":"2020-09-07","rows_on_this_dataset":2,"code_links":4,"syntology":null},{"paper":"/paper/siamese-network-for-rgb-d-salient-object","title":"Siamese Network for RGB-D Salient Object Detection and Beyond","date":"2020-08-26","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/progressively-guided-alternate-refinement","title":"Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection","date":"2020-08-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/bbs-net-rgb-d-salient-object-detection-with-a","title":"Bifurcated backbone strategy for RGB-D salient object detection","date":"2020-07-06","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":3,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/bilateral-attention-network-for-rgb-d-salient","title":"Bilateral Attention Network for RGB-D Salient Object Detection","date":"2020-04-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/jl-dcf-joint-learning-and-densely-cooperative","title":"JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection","date":"2020-04-18","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/uc-net-uncertainty-inspired-rgb-d-saliency","title":"UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders","date":"2020-04-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/rethinking-rgb-d-salient-object-detection","title":"Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks","date":"2019-07-15","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/contrast-prior-and-fluid-pyramid-integration","title":"Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection","date":"2019-06-01","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":4,"samples_harvested":30,"samples_ran":20,"samples_unverified":10,"pointer_only_for_licence":11,"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."}