Semi Supervised Semantic Segmentation On Coco 2

Metrics

Validation mIoU

Results

Performance results of various models on this benchmark

		Paper Title
UniMatch V2	58.7	UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
SemiVL	53.6	SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
PrevMatch	45.7	Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
AllSpark	45.48	AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
LogicDiag	45.4	Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
UniMatch	44.5	Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
S4MC	43.78	Semi-Supervised Semantic Segmentation via Marginal Contextual Information
PC2Seg	40.1	Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
PseudoSeg	39.1	PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

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