Datasets › SIP
SIP (Salient Person)
The Salient Person dataset (SIP) contains 929 salient person samples with different poses and illumination conditions.
Source: Accurate RGB-D Salient Object Detection via Collaborative Learning Image Source: https://arxiv.org/pdf/1907.06781.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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| RGB-D Salient Object Detection | SIP | DFormer-L S-Measure 91.5 | DFormer: Rethinking RGBD Representation Learning for... | VCIP-RGBD/DFormer | 16 | Compare |
Papers archive 2025-07-28
15 shown of 15 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 61. 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
- SIP
1 variant name, as the archive lists them.
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