Semantic Segmentation on DADA-seg
24.9mIoUOCRNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| OCRNetBackbone=HRNetV2p-W48, Resolution=1024x5122020.08 | 24.9 | -55.7 | |
| OCRNetBackbone=HRNetV2p-W18, Resolution=1024x5122020.08 | 23.8 | -53.9 | |
| DeepLabV3+Backbone=ResNet-101, Resolution=1024x5122020.08 | 23.6 | -55.8 | |
| SwiftNetBackbone=ResNet-18, Resolution=1024x5122020.08 | 20.5 | -54.9 | |
| OCRNetBackbone=HRNetV2p-W18small, Resolution=1024x5122020.08 | 20.5 | -56.6 | |
| DNLBackbone=ResNet-101, Resolution=1024x5122020.08 | 19.7 | -60.7 | |
| DeepLabV3+Backbone=ResNet-50, Resolution=1024x5122020.08 | 19 | -60 | |
| PSPNetBackbone=MobileNetV2, Resolution=1024x5122020.08 | 17.1 | -52.5 | |
| DeepLabV3+Backbone=MobileNetV2, Resolution=1024x5122020.08 | 16.5 | -58.7 | |
| DNLBackbone=ResNet-50, Resolution=1024x5122020.08 | 15.7 | -63.6 | |
| ERFNetBackbone=ResNet-18, Resolution=1024x5122020.08 | 9 | -63.1 |