Semantic Segmentation on Pascal-EA 1.0 (val)
95.59mIoU (Validation)CATSeg
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CATSegBackbone=Swin-B2024.03 | 95.59 | 88.06 | 88.51 | 87.28 | 82.93 | 81.96 | 82.26 | 74.79 | 88.63 | 90.3 | 90.06 | 92.95 | 48.06 | 82.98 | -12.61 | |
| OVSegBackbone=Swin-B2024.03 | 92.83 | 83.23 | 85.84 | 85.17 | 79.08 | 77.01 | 79.7 | 70.93 | 86.12 | 86.06 | 86.93 | 89.74 | 42.79 | 79.38 | -13.45 | |
| ODISEBackbone=SD-1.52024.03 | 91.54 | 71.96 | 72.05 | 70.05 | 70.23 | 73.46 | 64.5 | 54.59 | 81.55 | 84.33 | 82.61 | 85.97 | 26.32 | 69.79 | -21.75 | |
| Mask2FormerBackbone=Swin-B2024.03 | 90.81 | 80.1 | 80.15 | 72.92 | 61.14 | 62.92 | 62.77 | 49.48 | 77.29 | 77.78 | 76.21 | 77.06 | 21.82 | 66.64 | -24.17 | |
| X-DecoderBackbone=Focal-T2024.03 | 90.42 | 81.7 | 83.89 | 79.36 | 70.59 | 69.64 | 72.72 | 52.28 | 83.58 | 83.85 | 83.22 | 87.05 | 34.99 | 73.57 | -16.85 | |
| SEEMBackbone=Focal-T2024.03 | 89.21 | 80.3 | 82.74 | 78.55 | 70.79 | 69.56 | 71.37 | 56.94 | 81.76 | 82.42 | 83.71 | 84.91 | 34.45 | 73.13 | -16.09 | |
| SEEMBackbone=SAM-B2024.03 | 89.1 | 77.14 | 79.48 | 72.2 | 61.41 | 63.37 | 64.98 | 50.95 | 77.47 | 77.8 | 76.21 | 77.06 | 28.18 | 67.19 | -21.91 | |
| SegmenterBackbone=ViT-B2024.03 | 80.66 | 74.14 | 75.2 | 72.77 | 65.84 | 63.11 | 67.15 | 54.89 | 74.48 | 75.26 | 75.22 | 75.86 | 31.19 | 67.09 | -13.57 | |
| SegformerBackbone=MIT-B32024.03 | 79.45 | 71.06 | 72.37 | 69.01 | 60.55 | 61.6 | 63.02 | 51.88 | 70.8 | 72.02 | 71.91 | 71.23 | 21.45 | 63.08 | -16.38 | |
| OCRNetBackbone=HR-482024.03 | 75.32 | 67.78 | 69.98 | 65.65 | 56.79 | 56.76 | 58.69 | 46.42 | 65.41 | 67.41 | 67.71 | 65.45 | 22.06 | 59.18 | -16.14 | |
| DeepLabV3+Backbone=RN-502024.03 | 73.65 | 66.46 | 67.29 | 63.34 | 52.96 | 54.1 | 55.07 | 41.98 | 62.85 | 63.59 | 65.14 | 61.39 | 15.33 | 55.79 | -17.86 |