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Semantic Segmentation on PASCAL-Context (OOD Robustness)

71.1mIoU (Fog)FTP
56.144860.027463.9167.7926Oct 29, 2023

Evaluation results

MethodLinks
FTPBackbone=Swin-Tiny, Pre-training=ImageNet-21K, Decoder=Segformer, Inference Time (s/it)=0.4012023.1071.152.6340.2569.8158.4532.83
L2-SPBackbone=Swin-Tiny, Pre-training=ImageNet-21K, Decoder=Segformer, Inference Time (s/it)=0.3472023.1069.8749.239.168.6156.728.85
TPGMBackbone=Swin-Tiny, Pre-training=ImageNet-21K, Decoder=Segformer, Inference Time (s/it)=0.6112023.1069.5150.8838.6268.8256.9629.44
AdapterBackbone=Swin-Tiny, Pre-training=ImageNet-21K, Decoder=Segformer, Inference Time (s/it)=0.2332023.1069.3650.9437.4368.2656.528.4
LLRDBackbone=Swin-Tiny, Pre-training=ImageNet-21K, Decoder=Segformer, Inference Time (s/it)=0.2892023.1068.1346.1837.2866.354.4723.79
BitFitBackbone=Swin-Tiny, Pre-training=ImageNet-21K, Decoder=Segformer, Inference Time (s/it)=0.2482023.106746.3930.6166.2252.5619.44
MARS-SPBackbone=Swin-Tiny, Pre-training=ImageNet-21K, Decoder=Segformer, Inference Time (s/it)=0.3182023.1056.9737.2921.8258.2743.59-0.94
Vanilla FTBackbone=Swin-Tiny, Pre-training=ImageNet-21K, Decoder=Segformer, Inference Time (s/it)=0.2882023.1056.7238.0423.2158.03440