Datasets › NLPR
NLPR
The NLPR dataset for salient object detection consists of 1,000 image pairs captured by a standard Microsoft Kinect with a resolution of 640×480. The images include indoor and outdoor scenes (e.g., offices, campuses, streets and supermarkets).
Source: Bifurcated Backbone Strategy for RGB-D Salient Object Detection Image Source: https://sites.google.com/site/rgbdsaliency/dataset
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 | NLPR | DFormer-L S-Measure 94.2 | DFormer: Rethinking RGBD Representation Learning for... | VCIP-RGBD/DFormer | 14 | Compare |
Papers archive 2025-07-28
13 shown of 13 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 113. 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
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- NLPR
1 variant name, as the archive lists them.
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