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Semi Supervised Semantic Segmentation On 41

Metrics

Validation mIoU

Results

Performance results of various models on this benchmark

Paper Title
UniMatch V245.0UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
SemiVL35.1SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
AEL28.4Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
UniMatch28.1Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
CutMix26.2Semi-supervised semantic segmentation needs strong, varied perturbations
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