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SotA/Methodology/16k/NLPR

16k on NLPR

Metric: S-Measure (higher is better)

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#Model↕S-Measure▼AugmentationsPaperDate↕Code
1DFormer-L94.2NoDFormer: Rethinking RGBD Representation Learning...2023-09-18Code
2CoLANet93.5NoCoLA: Conditional Dropout and Language-driven Ro...2024-07-09Code
3BBS-Net93NoBifurcated backbone strategy for RGB-D salient o...2020-07-06Code
4DASNet92.9NoIs Depth Really Necessary for Salient Object Det...2020-05-30Code
5SPSN92.6NoSPSN: Superpixel Prototype Sampling Network for ...2022-07-16Code
6JL-DCF*92.6YesSiamese Network for RGB-D Salient Object Detecti...2020-08-26Code
7JL-DCF92.5NoJL-DCF: Joint Learning and Densely-Cooperative F...2020-04-18Code
8BiANet92.5NoBilateral Attention Network for RGB-D Salient Ob...2020-04-30Code
9UC-Net92NoUC-Net: Uncertainty Inspired RGB-D Saliency Dete...2020-04-13Code
10UCNet-ABP91.9NoUncertainty Inspired RGB-D Saliency Detection2020-09-07Code
11UCNet-CAVE91.7NoUncertainty Inspired RGB-D Saliency Detection2020-09-07Code
12D3Net91.2NoRethinking RGB-D Salient Object Detection: Model...2019-07-15Code
13CPFP88.8No--Code
14VST0.932NoVisual Saliency Transformer2021-04-25Code