{"url":"/dataset/set11","name":"Set11","full_name":"Set11","description_markdown":"**Set11** is a dataset of 11 grayscale images. It is a dataset used for image reconstruction and image compression.\n\nSource: [ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing](https://arxiv.org/abs/1706.07929)\nImage Source: [https://arxiv.org/pdf/1706.07929.pdf](https://arxiv.org/pdf/1706.07929.pdf)","description_withheld":null,"homepage":null,"introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/reconnet-non-iterative-reconstruction-of-1","title":"ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements","first_author":"Kuldeep Kulkarni","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Compressive Sensing","url":"/task/compressive-sensing","datasets_with_task":"/datasets/task/compressive-sensing"},{"name":"Image Compressed Sensing","url":"/task/image-compressed-sensing","datasets_with_task":"/datasets/task/image-compressed-sensing"}],"languages":[],"variants":["Set11 cs=50%","Set11"],"data_loaders":[],"num_papers_in_archive":59,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/compressive-sensing-on-set11-cs-50","task":"Compressive Sensing","dataset_variant":"Set11 cs=50%","rows":2,"metrics":["Average PSNR","PSNR"],"first_row_in_archive_order":{"model":"DMP-DUN-Plus (4-step)","paper":"/paper/using-powerful-prior-knowledge-of-diffusion","metrics":{"Average PSNR":"42.82","PSNR":"42.82"},"code_links":[{"title":"fengodchen/dmp-dun-cvpr2025","url":"https://github.com/fengodchen/dmp-dun-cvpr2025"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/using-powerful-prior-knowledge-of-diffusion","title":"Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing","date":"2025-03-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":1,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/ampa-net-optimization-inspired-attention","title":"AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing","date":"2020-10-14","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":4,"samples_ran":1,"samples_unverified":3,"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."}