Semantic Segmentation on Cityscapes (val) (Overall Acc, Mean Acc, and mIoU)
95.89Overall AccuracyInfoPro+MAN++
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| InfoPro+MAN++Pretrain=ImageNet-1K, Backbone=DeepLabV3+-R101, K=22025.07 | 95.89 | 84.01 | 76.77 | |
| E2EPretrain=ImageNet-1K, Backbone=DeepLabV3+-R1012025.07 | 95.84 | 83.24 | 75.53 | |
| InfoPro+MAN++Pretrain=ImageNet-1K, Backbone=DeepLabV3+-R50, K=22025.07 | 95.69 | 82.19 | 75.34 | |
| E2EPretrain=ImageNet-1K, Backbone=DeepLabV3+-R502025.07 | 95.66 | 81.89 | 74.61 | |
| InfoPro+MAN++Pretrain=ImageNet-1K, Backbone=DeepLabV3-R101, K=22025.07 | 95.53 | 82.69 | 74.57 | |
| E2EPretrain=ImageNet-1K, Backbone=DeepLabV3-R1012025.07 | 95.51 | 82.31 | 74.41 | |
| InfoProPretrain=ImageNet-1K, Backbone=DeepLabV3+-R50, K=22025.07 | 95.41 | 80.15 | 72.48 | |
| InfoPro+MAN++Pretrain=ImageNet-1K, Backbone=DeepLabV3-R50, K=22025.07 | 95.31 | 81.24 | 73.85 | |
| E2EPretrain=ImageNet-1K, Backbone=DeepLabV3-R502025.07 | 95.27 | 80.83 | 73.3 | |
| InfoProPretrain=ImageNet-1K, Backbone=DeepLabV3-R101, K=22025.07 | 95.19 | 79.79 | 70.94 | |
| InfoProPretrain=ImageNet-1K, Backbone=DeepLabV3+-R101, K=22025.07 | 94.93 | 79.3 | 71.28 | |
| InfoProPretrain=ImageNet-1K, Backbone=DeepLabV3-R50, K=22025.07 | 94.91 | 80.15 | 72.48 | |
| InfoPro+MAN++Pretrain=Scratch, Backbone=DeepLabV3-R50, K=22025.07 | 93.41 | 69.12 | 60.84 | |
| E2EPretrain=Scratch, Backbone=DeepLabV3-R502025.07 | 93.34 | 68.09 | 59.71 | |
| InfoProPretrain=Scratch, Backbone=DeepLabV3-R50, K=22025.07 | 93.26 | 68.02 | 59.07 | |
| InfoPro+MAN++Pretrain=Scratch, Backbone=DeepLabV3+-R101, K=22025.07 | 93.21 | 67.12 | 59.31 | |
| InfoPro+MAN++Pretrain=Scratch, Backbone=DeepLabV3+-R50, K=22025.07 | 93.18 | 68.25 | 60.04 | |
| E2EPretrain=Scratch, Backbone=DeepLabV3+-R1012025.07 | 93.14 | 66.51 | 58.23 | |
| E2EPretrain=Scratch, Backbone=DeepLabV3+-R502025.07 | 93.06 | 67.38 | 58.89 | |
| InfoPro+MAN++Pretrain=Scratch, Backbone=DeepLabV3-R101, K=22025.07 | 93.05 | 67.11 | 58.54 | |
| InfoProPretrain=Scratch, Backbone=DeepLabV3+-R50, K=22025.07 | 92.84 | 65.69 | 56.58 | |
| InfoProPretrain=Scratch, Backbone=DeepLabV3+-R101, K=22025.07 | 92.69 | 65.33 | 55.91 | |
| E2EPretrain=Scratch, Backbone=DeepLabV3-R1012025.07 | 92.67 | 65.51 | 56.74 | |
| InfoProPretrain=Scratch, Backbone=DeepLabV3-R101, K=22025.07 | 92.39 | 64.23 | 55.23 |