Salient Object Detection on NJUD
2.9MAEAdaptive Predictor Fusion Network (APF)
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 2.9 | — | — | — | — | — | — | 93.8 | 92.7 | 94.1 | — | |
| SPNetBackbone=Res2Net-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 3 | — | — | — | — | — | — | 93.6 | 92.5 | 93.4 | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 3 | — | — | — | — | — | — | 93.7 | 92.6 | 94 | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-50, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 3.4 | — | — | — | — | — | — | 93.4 | 91.9 | 93.3 | — | |
| BBSNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 3.5 | — | — | — | — | — | — | 94.2 | 92.1 | 93.1 | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-50, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 3.5 | — | — | — | — | — | — | 93.1 | 91.5 | 92.9 | — | |
| HDFNetBackbone=VGG-162020.07 | 3.7 | 92.4 | 89.4 | 88.1 | 91.1 | 93.4 | — | — | — | — | — | |
| RD3DBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 3.7 | — | — | — | — | — | — | 94.2 | 91.6 | 92.3 | — | |
| HDFNetBackbone=VGG-192020.07 | 3.8 | 92.2 | 88.7 | 87.7 | 91.1 | 93.2 | — | — | — | — | — | |
| HDFNetBackbone=ResNet-502020.07 | 3.8 | 92.2 | 88.9 | 87.7 | 90.8 | 93.2 | — | — | — | — | — | |
| HDFNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 3.8 | — | — | — | — | — | — | 93.2 | 90.8 | 92.2 | — | |
| DCFBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 3.8 | — | — | — | — | — | — | 94.1 | 90.3 | 91.7 | — | |
| DSA2FBackbone=VGG-19, Method Style=Depth-based, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 3.9 | — | — | — | — | — | — | 93.7 | 90.4 | 91.7 | — | |
| JL-DCFBackbone=ResNet-101, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | 4.1 | — | — | — | — | — | — | 93.5 | 90.2 | 91.2 | — | |
| DASNetBackbone=ResNet-50, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | 4.2 | — | — | — | — | — | — | 93.6 | 90.2 | 91.1 | — | |
| CoNet2020.07 | 4.7 | 85.6 | — | — | — | — | 89.4 | — | — | — | — | |
| CoNet2020.07 | 4.7 | — | — | 87.2 | — | — | — | 91.2 | 89.4 | 85.6 | — | |
| CoNetBackbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | 4.7 | — | — | — | — | — | — | 92.4 | 89.4 | 90.2 | — | |
| DMRABackbone=VGG-192020.07 | 5.1 | 89.6 | 87.2 | 84.7 | 88.5 | 92 | — | — | — | — | — | |
| D3NetBackbone=ResNet-502020.07 | 5.1 | 90.3 | 84 | 83.3 | 89.5 | 90.1 | — | — | — | — | — | |
| DMRA2020.07 | 5.1 | — | — | 87.2 | — | — | — | 88.3 | 85.9 | 85.3 | — | |
| CPFPBackbone=VGG-162020.07 | 5.3 | 89 | 83.7 | 82.8 | 87.8 | 90 | — | — | — | — | — | |
| CPFP2020.07 | 5.3 | — | — | 85 | — | — | — | 91.2 | 89.4 | 83.7 | — | |
| CPD2020.07 | 5.4 | 83.4 | — | — | — | — | 87.6 | — | — | — | — | |
| BASNet2020.07 | 5.5 | 83.9 | — | — | — | — | 87.2 | — | — | — | — | |
| EGNet2020.07 | 5.7 | 81.2 | — | — | — | — | 87.1 | — | — | — | — | |
| PoolNet2020.07 | 5.7 | 81.6 | — | — | — | — | 87.2 | — | — | — | — | |
| PCANetBackbone=VGG-162020.07 | 5.9 | 88.7 | 84.4 | 80.3 | 87.7 | 90.9 | — | — | — | — | — | |
| PCA2020.07 | 5.9 | — | — | 84.4 | — | — | — | 90.8 | 88.6 | 81.1 | — | |
| TANetBackbone=VGG-162020.07 | 6.1 | 88.8 | 84.4 | 80.5 | 87.8 | 90.9 | — | — | — | — | — | |
| TANet2020.07 | 6.1 | — | — | 84.4 | — | — | — | 89.4 | 87.8 | 81.2 | — | |
| PDNet2020.07 | 6.2 | — | — | 83.2 | — | — | — | 89.3 | 87.8 | 79.8 | — | |
| PiCANet2020.07 | 7.1 | 76.8 | — | — | — | — | 84.7 | — | — | — | — | |
| MMCIBackbone=VGG-162020.07 | 7.9 | 86.8 | 81.3 | 73.9 | 85.9 | 88.2 | — | — | — | — | — | |
| MPCI2020.07 | 7.9 | — | — | 81.3 | — | — | — | 89.6 | 87.7 | 74.9 | — | |
| PAGRN2020.07 | 8.1 | 74.6 | — | — | — | — | 82.9 | — | — | — | — | |
| CTMFBackbone=VGG-162020.07 | 8.5 | 85.7 | 78.8 | 72 | 84.9 | 86.6 | — | — | — | — | — | |
| Amulet2020.07 | 8.5 | 75.8 | — | — | — | — | 84.3 | — | — | — | — | |
| CTMF2020.07 | 8.5 | — | — | 78.8 | — | — | — | 86.4 | 84.9 | 73.2 | — | |
| R3Net2020.07 | 9.2 | 73.6 | — | — | — | — | 83.7 | — | — | — | — | |
| AFNetBackbone=VGG-162020.07 | 10 | 80.4 | 76.8 | 69.6 | 77.2 | 84.7 | — | — | — | — | — | |
| DSS2020.07 | 10.8 | 67.8 | — | — | — | — | 80.7 | — | — | — | — | |
| DFBackbone=VGG-162020.07 | 15.1 | 78.9 | 74.4 | 54.5 | 73.5 | 81.8 | — | — | — | — | — | |
| DF2020.07 | 15.1 | — | — | 74.4 | — | — | — | 81.8 | 73.5 | 55.2 | — | |
| DCMC2020.07 | 16.7 | 76.9 | 71.5 | 49.7 | 70.3 | 79.6 | — | — | — | — | — | |
| DCMC2020.07 | 16.7 | — | — | 71.5 | — | — | — | 79.6 | 70.3 | 50.6 | — | |
| CDCP2020.07 | 18.1 | — | — | 61.8 | — | — | — | 75.1 | 67.3 | 52.2 | — | |
| CDCP2020.07 | 18.2 | 66.1 | 61.8 | 51 | 67.2 | 75.1 | — | — | — | — | — | |
| LHM2020.07 | 20.1 | — | — | 62.5 | — | — | — | 72.2 | 53 | 31.1 | — | |
| MB2020.07 | 20.2 | — | — | 49.2 | — | — | — | 64.3 | 53.4 | 36.9 | — | |
| DES14Method Category=Traditional2020.07 | 44.8 | 32.8 | 16.5 | 23.4 | 41.3 | 49.1 | — | — | — | — | — | |
| DES2020.07 | 44.8 | — | — | 16.5 | — | — | — | 42.1 | 41.3 | 24.1 | — | |
| CATNetParams (M)=262.732026.04 | — | — | — | — | 93.2 | 96 | — | — | — | — | 93.7 | |
| CPNetParams (M)=216.502026.04 | — | — | — | — | 93.5 | 96.3 | — | — | — | — | 94.1 | |
| DGSSMParams (M)=44.732026.04 | — | — | — | — | 95.8 | 98.2 | — | — | — | — | 96.4 | |
| JL-DCFParams (M)=143.522026.04 | — | — | — | — | 87.7 | 94.1 | — | — | — | — | 89.2 | |
| SambaParams (M)=54.942026.04 | — | — | — | — | 94.9 | 97.5 | — | — | — | — | 95.6 | |
| SP-NetParams (M)=67.882026.04 | — | — | — | — | 92.5 | 95.7 | — | — | — | — | 92.8 | |
| SPSN2026.04 | — | — | — | — | 92.5 | 95.6 | — | — | — | — | 93 | |
| SwinNet-BParams (M)=199.182026.04 | — | — | — | — | 92 | 95.6 | — | — | — | — | 92.4 | |
| VSCode-SParams (M)=74.722026.04 | — | — | — | — | 94.4 | 97 | — | — | — | — | 94.9 | |
| VST-S++Params (M)=143.152026.04 | — | — | — | — | 92.8 | 95.7 | — | — | — | — | 92.8 |