Semi Supervised Semantic Segmentation On Coco 3

Metrics

Validation mIoU

Results

Performance results of various models on this benchmark

		Paper Title
UniMatch V2	60.4	UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
SemiVL	55.4	SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
AllSpark	49.56	AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
LogicDiag	48.8	Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
PrevMatch	48.4	Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
UniMatch	48.2	Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
S4MC	47.98	Semi-Supervised Semantic Segmentation via Marginal Contextual Information
PC2Seg	43.7	Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
PseudoSeg	41.8	PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

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