Datasets › Set11

Set11

Introduced by Kuldeep Kulkarni et al. in ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements1 Jan 2016 archive 2025-07-28

Set11 is a dataset of 11 grayscale images. It is a dataset used for image reconstruction and image compression.

Source: ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing Image Source: https://arxiv.org/pdf/1706.07929.pdf

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Compressive Sensing Set11 cs=50% DMP-DUN-Plus (4-step) Average PSNR 42.82 Using Powerful Prior Knowledge of Diffusion Model in... fengodchen/dmp-dun-cvpr2025 2 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 59. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Set11 cs=50%
  • Set11

2 variant names, as the archive lists them.

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