Semi Supervised Semantic Segmentation On 42
Metrics
Validation mIoU
Results
Performance results of various models on this benchmark
Model Name | Validation mIoU | Paper Title | Repository |
|---|---|---|---|
| UniMatch V2 | 46.7 | UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation | - |
| UniMatch | 31.5 | Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation | - |
| SemiVL | 37.2 | SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance | - |
| AEL | 33.2 | Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning | - |
| CutMix | 29.8 | Semi-supervised semantic segmentation needs strong, varied perturbations | - |
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