Datasets › SOC
SOC (Salient Objects in Clutter)
SOC (Salient Objects in Clutter) is a dataset for Salient Object Detection (SOD). It includes images with salient and non-salient objects from daily object categories. Beyond object category annotations, each salient image is accompanied by attributes that reflect common challenges in real-world scenes.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| RGB Salient Object Detection | SOC | UCNet-CVAE Average MAE 0.089 | Uncertainty Inspired RGB-D Saliency Detection | taozh2017/RGBD-SODsurvey +3 | 7 | Compare |
Papers archive 2025-07-28
6 shown of 6 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 31. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Uncertainty Inspired RGB-D Saliency Detection | 4 | 2 | 7 Sep 2020 | not harvested |
| Stacked Cross Refinement Network for Edge-Aware Salient Object Detection | 1 | 1 | 1 Oct 2019 | not harvested |
| BASNet: Boundary-Aware Salient Object Detection | 3 | 1 | 1 Jun 2019 | not harvested |
| Attentive Feedback Network for Boundary-Aware Salient Object Detection | 1 | 1 | 1 Jun 2019 | not harvested |
| PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection | 2 | 1 | 21 Aug 2017 | not harvested |
| Non-Local Deep Features for Salient Object Detection | 2 | 1 | 1 Jul 2017 | not harvested |
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
- SOC
1 variant name, as the archive lists them.
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