{"url":"/dataset/cosal2015","name":"CoSal2015","full_name":"CoSal2015","description_markdown":"Cosal2015 is a large-scale dataset for co-saliency detection which consists of 2,015 images of 50 categories, and each group suffers from various challenging factors such as complex environments, occlusion issues, target appearance variations and background clutters, etc. All these increase the difficulty for accurate co-saliency detection.\n\nSource: [Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection](https://arxiv.org/abs/2003.06167)\nImage Source: [https://arxiv.org/pdf/1604.07090.pdf](https://arxiv.org/pdf/1604.07090.pdf)","description_withheld":null,"homepage":null,"introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Detection of Co-salient Objects by Looking Deep and Wide","first_author":null,"url":"https://doi.org/10.1007/s11263-016-0907-4"},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Co-Salient Object Detection","url":"/task/co-saliency-detection","datasets_with_task":"/datasets/task/co-saliency-detection"}],"languages":[],"variants":["CoSal2015"],"data_loaders":[],"num_papers_in_archive":33,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/co-salient-object-detection-on-cosal2015","task":"Co-Salient Object Detection","dataset_variant":"CoSal2015","rows":10,"metrics":["max E-measure","S-measure","max F-measure","MAE","mean E-measure","mean F-measure"],"first_row_in_archive_order":{"model":"DMT","paper":"/paper/discriminative-co-saliency-and-background","metrics":{"MAE":"0.045","S-measure":"0.897","max E-measure":"0.936","max F-measure":"0.905","mean E-measure":"0.922","mean F-measure":"0.883"},"code_links":[{"title":"dragonlee258079/DMT","url":"https://github.com/dragonlee258079/DMT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/discriminative-co-saliency-and-background","title":"Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection","date":"2023-04-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/gconet-a-stronger-group-collaborative-co","title":"GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector","date":"2022-05-30","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/democracy-does-matter-comprehensive-feature","title":"Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection","date":"2022-03-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-unified-transformer-framework-for-group","title":"A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection","date":"2022-03-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":0,"samples_unverified":13,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/summarize-and-search-learning-consensus-aware","title":"Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection","date":"2021-10-01","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":5,"samples_unverified":5,"pointer_only_for_licence":10,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/group-collaborative-learning-for-co-salient","title":"Group Collaborative Learning for Co-Salient Object Detection","date":"2021-03-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/taking-a-deeper-look-at-co-salient-object","title":"Taking a Deeper Look at Co-Salient Object Detection","date":"2020-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/gradient-induced-co-saliency-detection","title":"Gradient-Induced Co-Saliency Detection","date":"2020-04-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/egnet-edge-guidance-network-for-salient","title":"EGNet: Edge Guidance Network for Salient Object Detection","date":"2019-10-01","rows_on_this_dataset":1,"code_links":7,"syntology":null},{"paper":"/paper/co-saliency-detection-via-mask-guided-fully","title":"Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing","date":"2019-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":24,"samples_ran":5,"samples_unverified":19,"pointer_only_for_licence":11,"papers_with_no_sample_that_ran":2,"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."}