Semantic Segmentation on Oxford Pet full mask PET_F
0.648L_CEResNet34
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ResNet34Pre-training=ImageNet-1K2024.11 | 0.648 | 5.03 | 59.7 | |
| ResNet50Pre-training=ImageNet-1K2024.11 | 1.027 | 5.12 | 59.9 | |
| U-Net4Pre-training=None, Downsampling layers=42024.11 | 2.206 | 3.29 | 31.6 | |
| MobileNetPre-training=ImageNet-1K2024.11 | 2.386 | 3.29 | 25.2 | |
| OneNete, 4Pre-training=None, Downsampling layers=4, Architecture configuration=encoder swap2024.11 | 2.713 | 2.79 | 21.6 | |
| OneNeted, 4Pre-training=None, Downsampling layers=4, Architecture configuration=encoder-decoder swap2024.11 | 3.08 | 2.27 | 17.2 |