Semantic Segmentation on Pascal-EA
94.7Original ScoreCATSeg
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| CATSegBackbone=Swin-B2026.03 | 94.7 | 93.68 | 91.79 | 77.86 | 91.59 | 90.39 | 94 | |
| OVSegBackbone=Swin-B2026.03 | 92.48 | 91.06 | 89.11 | 76.95 | 88.15 | 87.4 | 93 | |
| ODISEBackbone=SD-1.52026.03 | 90.37 | 89.35 | 87.36 | 74.49 | 85.4 | 84.44 | 92 | |
| SEEMBackbone=Focal-T2026.03 | 89.86 | 88.44 | 85.88 | 70.75 | 85.6 | 84.14 | 92 | |
| X-DecoderBackbone=Focal-T2026.03 | 89.84 | 87.21 | 85.9 | 65.85 | 87.21 | 83.67 | 90 | |
| Mask2FormerBackbone=Swin-B2026.03 | 88.07 | 87.52 | 85.35 | 61.52 | 85.3 | 79.09 | 89 | |
| SegmenterBackbone=ViT-B/162026.03 | 82.5 | 81.19 | 78.69 | 60.29 | 78.43 | 77.04 | 91 | |
| SegFormerBackbone=MIT-B32026.03 | 81.81 | 80.84 | 77.49 | 55.45 | 76.04 | 73.45 | 87 | |
| MaskFormerBackbone=Swin-B2026.03 | 80.49 | 79.26 | 76.91 | 54.3 | 75.61 | 71.95 | 88 | |
| OCRNetBackbone=HRNet482026.03 | 78.29 | 77 | 73.16 | 49.37 | 73.69 | 69.08 | 86 | |
| PSPNetBackbone=ResNet502026.03 | 77.02 | 76.1 | 72 | 45.14 | 69.97 | 63.83 | 82 | |
| GCNetBackbone=ResNet502026.03 | 76.78 | 75.53 | 70.83 | 43.09 | 69.19 | 61.79 | 81 | |
| DeepLabV3Backbone=ResNet502026.03 | 75.33 | 74.26 | 71.66 | 45.49 | 69.21 | 63.7 | 84 |