Datasets › NJU2K
NJU2K
NJU2K is a large RGB-D dataset containing 1,985 image pairs. The stereo images were collected from the Internet and 3D movies, while photographs were taken by a Fuji W3 camera.
Source: Bifurcated Backbone Strategy for RGB-D Salient Object Detection Image Source: Depth saliency based on anisotropic center-surround difference
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 | NJU2K | DFormer-L S-Measure 93.7 | DFormer: Rethinking RGBD Representation Learning for... | VCIP-RGBD/DFormer | 27 | Compare |
Papers archive 2025-07-28
26 shown of 26 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 52. 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
- NJU2K
1 variant name, as the archive lists them.
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