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Semantic Segmentation on Cityscapes (val) (Overall Acc, Mean Acc, and mIoU)

95.89Overall AccuracyInfoPro+MAN++
92.2593.19594.1495.085Jul 22, 2025

Evaluation results

MethodLinks
InfoPro+MAN++Pretrain=ImageNet-1K, Backbone=DeepLabV3+-R101, K=22025.0795.8984.0176.77
E2EPretrain=ImageNet-1K, Backbone=DeepLabV3+-R1012025.0795.8483.2475.53
InfoPro+MAN++Pretrain=ImageNet-1K, Backbone=DeepLabV3+-R50, K=22025.0795.6982.1975.34
E2EPretrain=ImageNet-1K, Backbone=DeepLabV3+-R502025.0795.6681.8974.61
InfoPro+MAN++Pretrain=ImageNet-1K, Backbone=DeepLabV3-R101, K=22025.0795.5382.6974.57
E2EPretrain=ImageNet-1K, Backbone=DeepLabV3-R1012025.0795.5182.3174.41
InfoProPretrain=ImageNet-1K, Backbone=DeepLabV3+-R50, K=22025.0795.4180.1572.48
InfoPro+MAN++Pretrain=ImageNet-1K, Backbone=DeepLabV3-R50, K=22025.0795.3181.2473.85
E2EPretrain=ImageNet-1K, Backbone=DeepLabV3-R502025.0795.2780.8373.3
InfoProPretrain=ImageNet-1K, Backbone=DeepLabV3-R101, K=22025.0795.1979.7970.94
InfoProPretrain=ImageNet-1K, Backbone=DeepLabV3+-R101, K=22025.0794.9379.371.28
InfoProPretrain=ImageNet-1K, Backbone=DeepLabV3-R50, K=22025.0794.9180.1572.48
InfoPro+MAN++Pretrain=Scratch, Backbone=DeepLabV3-R50, K=22025.0793.4169.1260.84
E2EPretrain=Scratch, Backbone=DeepLabV3-R502025.0793.3468.0959.71
InfoProPretrain=Scratch, Backbone=DeepLabV3-R50, K=22025.0793.2668.0259.07
InfoPro+MAN++Pretrain=Scratch, Backbone=DeepLabV3+-R101, K=22025.0793.2167.1259.31
InfoPro+MAN++Pretrain=Scratch, Backbone=DeepLabV3+-R50, K=22025.0793.1868.2560.04
E2EPretrain=Scratch, Backbone=DeepLabV3+-R1012025.0793.1466.5158.23
E2EPretrain=Scratch, Backbone=DeepLabV3+-R502025.0793.0667.3858.89
InfoPro+MAN++Pretrain=Scratch, Backbone=DeepLabV3-R101, K=22025.0793.0567.1158.54
InfoProPretrain=Scratch, Backbone=DeepLabV3+-R50, K=22025.0792.8465.6956.58
InfoProPretrain=Scratch, Backbone=DeepLabV3+-R101, K=22025.0792.6965.3355.91
E2EPretrain=Scratch, Backbone=DeepLabV3-R1012025.0792.6765.5156.74
InfoProPretrain=Scratch, Backbone=DeepLabV3-R101, K=22025.0792.3964.2355.23