Semi Supervised Semantic Segmentation On 35
Metrics
Validation mIoU
Results
Performance results of various models on this benchmark
Model Name | Validation mIoU | Paper Title | Repository |
|---|---|---|---|
| AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | 74.28 | Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning | |
| Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval) | 66.97 | Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks | |
| Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single-pass eval) | 65.81 | Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks |
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