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Semantic Segmentation on ImageNet-S 1.0 (test)

47mIoURF-ConvNeXt-T
29.11233.75638.443.044Jun 6, 2021

Evaluation results

MethodLinks
RF-ConvNeXt-TEvaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=true, Receptive field configuration=MultipleRF2021.0647
RF-ConvNeXt-TEvaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=true, Receptive field configuration=SingleRF2021.0646.2
ConvNeXt-TEvaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=true2021.0645.1
Swin-SEvaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0638.6
Swin-BEvaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0638.2
Res2Net-101Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0637.2
Res2Net-50Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0635.7
ResNeXt-101Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0634.8
ResNeXt-50Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0632.6
EfficientNet-B3Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0632.3
ResNet-101Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0631.4
Inception V3Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0629.9
ResNet-50Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0629.8
DenseNet-161Evaluation protocol=distance matching, Fine-tuned with ImageNet-S semi-supervised set=false2021.0629.8