Model Parsing on RED140 (test)
84.6Loss F1LGPN
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LGPNBackbone=GTC, MP Head=GCN refinement2023.12 | 84.6 | 83.3 | 79.5 | 77.5 | 0.12 | |
| Baseline4 (GTC)Backbone=GTC, MP Head=MLP2023.12 | 82.5 | 80.9 | 75.7 | 70.9 | 0.135 | |
| Baseline2Backbone=HR-Net, MP Head=MLP2023.12 | 80.7 | 81.9 | 72.2 | 70.3 | 0.149 | |
| FEN-PNBackbone=FEN., MP Head=Parsing Net.2023.12 | 80.5 | 78.9 | 73 | 70.8 | 0.139 | |
| Baseline1Backbone=ResNet-50, MP Head=MLP2023.12 | 79 | 77.7 | 72.1 | 69 | 0.163 | |
| Baseline3Backbone=ViT-B, MP Head=MLP2023.12 | 76.3 | 75.9 | 68.3 | 66.4 | 0.177 |