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SotA/Methodology/16k/NJU2K

16k on NJU2K

Metric: max E-Measure (higher is better)

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#Model↕max E-Measure▼AugmentationsPaperDate↕Code
1DFormer-L96.4NoDFormer: Rethinking RGBD Representation Learning...2023-09-18Code
2BTS-Net95.4NoBTS-Net: Bi-directional Transfer-and-Selection N...2021-04-05Code
3SPSN95NoSPSN: Superpixel Prototype Sampling Network for ...2022-07-16Code
4BiANet94.8NoBilateral Attention Network for RGB-D Salient Ob...2020-04-30Code
5JL-DCF*94.8YesSiamese Network for RGB-D Salient Object Detecti...2020-08-26Code
6CoLANet94.7NoCoLA: Conditional Dropout and Language-driven Ro...2024-07-09Code
7JL-DCF94.4NoJL-DCF: Joint Learning and Densely-Cooperative F...2020-04-18Code
8D3Net93.9NoRethinking RGB-D Salient Object Detection: Model...2019-07-15Code
9S2MA92.7No--Code
10DMRA92.7Yes--Code
11CPFP92.6No--Code
12PCF92.4No--Code
13LBE80.3No---
14LHM72.4NoRGBD Salient Object Detection via Deep Fusion2016-07-12-