Semi Supervised Semantic Segmentation On 11
Metrics
Validation mIoU
Results
Performance results of various models on this benchmark
Model Name | Validation mIoU | Paper Title | Repository |
|---|---|---|---|
| s4GAN+MLMT (DeepLab v2 ImageNet pre-trained) | 35.3 | Semi-Supervised Semantic Segmentation with High- and Low-level Consistency | |
| GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained) | 40.3% | GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference |
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