Semi Supervised Semantic Segmentation On 41
Metrics
Validation mIoU
Results
Performance results of various models on this benchmark
Model Name | Validation mIoU | Paper Title | Repository |
|---|---|---|---|
| CutMix | 26.2 | Semi-supervised semantic segmentation needs strong, varied perturbations | |
| AEL | 28.4 | Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning | |
| UniMatch | 28.1 | Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation | |
| UniMatch V2 | 45.0 | UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation | |
| SemiVL | 35.1 | SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance |
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