{"url":"/dataset/rs-haze","name":"RS-Haze","full_name":null,"description_markdown":"A large-scale non-homogeneous remote sensing image dehazing dataset","description_withheld":null,"homepage":"https://github.com/IDKiro/DehazeFormer","introduced_date":"2022-04-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/vision-transformers-for-single-image-dehazing","title":"Vision Transformers for Single Image Dehazing","first_author":"Yuda Song","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Dehazing","url":"/task/image-dehazing","datasets_with_task":"/datasets/task/image-dehazing"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["RS-Haze"],"data_loaders":[],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-dehazing-on-rs-haze","task":"Image Dehazing","dataset_variant":"RS-Haze","rows":7,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"DehazeFormer-B","paper":"/paper/vision-transformers-for-single-image-dehazing","metrics":{"PSNR":"39.87","SSIM":"0.971"},"code_links":[{"title":"IDKiro/DehazeFormer","url":"https://github.com/IDKiro/DehazeFormer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/rethinking-performance-gains-in-image","title":"Rethinking Performance Gains in Image Dehazing Networks","date":"2022-09-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/vision-transformers-for-single-image-dehazing","title":"Vision Transformers for Single Image Dehazing","date":"2022-04-08","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":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/contrastive-learning-for-compact-single-image","title":"Contrastive Learning for Compact Single Image Dehazing","date":"2021-04-19","rows_on_this_dataset":1,"code_links":10,"syntology":null},{"paper":"/paper/ffa-net-feature-fusion-attention-network-for","title":"FFA-Net: Feature Fusion Attention Network for Single Image Dehazing","date":"2019-11-18","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":0,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/griddehazenet-attention-based-multi-scale","title":"GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing","date":"2019-08-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/gated-context-aggregation-network-for-image","title":"Gated Context Aggregation Network for Image Dehazing and Deraining","date":"2018-11-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dehazenet-an-end-to-end-system-for-single","title":"DehazeNet: An End-to-End System for Single Image Haze Removal","date":"2016-01-28","rows_on_this_dataset":1,"code_links":3,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":21,"samples_ran":5,"samples_unverified":16,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}