Semantic Segmentation on Pascal-EA (Size/Position mIoU Analysis)
80.79mIoU (Original)CATSeg
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CATSegBackbone=Swin-B2026.03 | 80.79 | 79.44 | 78.42 | 79.15 | 77.18 | 97 | |
| OVSegBackbone=Swin-B2026.03 | 79.46 | 78.98 | 78.43 | 79.05 | 78.35 | 99 | |
| ODISEBackbone=SD-1.52026.03 | 78.56 | 75.71 | 71.81 | 76.84 | 75.45 | 95 | |
| Mask2FormerBackbone=Swin-B2026.03 | 77.11 | 73.56 | 71.92 | 72.87 | 72.04 | 94 | |
| X-DecoderBackbone=Focal-T2026.03 | 77.03 | 75.94 | 73.83 | 74.89 | 74.05 | 96 | |
| SEEMBackbone=Focal-T2026.03 | 76.24 | 75.06 | 74.65 | 75.36 | 72.6 | 97 | |
| SegmenterBackbone=ViT-B/162026.03 | 70.87 | 70.34 | 69.54 | 69.58 | 68.25 | 97 | |
| SegFormerBackbone=MIT-B32026.03 | 70.25 | 69.98 | 69.06 | 68.54 | 66.74 | 97 | |
| OCRNetBackbone=HRNet482026.03 | 68.15 | 67.26 | 65.33 | 66.61 | 65.08 | 97 | |
| GCNetBackbone=ResNet502026.03 | 67.85 | 65.69 | 63.6 | 64.95 | 63.5 | 95 | |
| PSPNetBackbone=ResNet502026.03 | 67.41 | 64.97 | 62.83 | 64.98 | 63.67 | 95 | |
| DeepLabV3+Backbone=ResNet502026.03 | 66.69 | 64.12 | 62.37 | 64.68 | 62.98 | 95 | |
| MaskFormerBackbone=Swin-B2026.03 | 65.5 | 65.19 | 63.69 | 64.55 | 63.07 | 98 |