Semi Supervised Semantic Segmentation On Coco 1

Metrics

Validation mIoU

Results

Performance results of various models on this benchmark

		Paper Title
UniMatch V2	55.8	UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
SemiVL	52.8	SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
AllSpark	41.65	AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
S4MC	40.4	Semi-Supervised Semantic Segmentation via Marginal Contextual Information
LogicDiag	40.3	Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
PrevMatch	40.2	Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
UniMatch	38.9	Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
PC2Seg	37.5	Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
PseuodSeg	37.1	PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

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