Semantic Segmentation on PASCAL VOC 2012 x4 (test)
63.3mIoUIHR -> T
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| IHR -> TSR Method=Oracle (IHR), Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 63.3 | 0 | — | |
| SR4IRSR Method=SwinIR, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 62.2 | 0.194 | 28.83 | |
| S -> TSR Method=SwinIR, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 61.4 | 0.221 | 29.57 | |
| SR4IRSR Method=EDSR-baseline, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 60.7 | 0.22 | 28.21 | |
| S -> TSR Method=EDSR-baseline, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 60.2 | 0.241 | 28.94 | |
| ILR -> TSR Method=Bilinear up, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 58.6 | 0.3 | 26.16 | |
| S + TSR Method=EDSR-baseline, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 58 | 0.318 | 27.64 | |
| S + TSR Method=SwinIR, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 57.5 | 0.341 | 27.55 | |
| T -> SSR Method=EDSR-baseline, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 56.6 | 0.352 | 26.83 | |
| T -> SSR Method=SwinIR, Task Network=DeepLabV3, Backbone=MobileNetV32024.04 | 53.2 | 0.376 | 26.04 |