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Semi Supervised Semantic Segmentation On 29

Métriques

Validation mIoU

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Validation mIoU	Paper Title	Repository
UniMatch V2 (DINOv2-B)	88.9	UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
CPCL (DeepLab v3+ with ResNet-50)	72.14	Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
CorrMatch (Deeplabv3+ with ResNet-101)	79.4	CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
UniMatch (DeepLab v3+ with ResNet-101)	78.80	Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
UniMatch (ViT-B/16)	82.0	SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
U2PL (DeepLab v3+ with ResNet-101)	73.7	Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
CPS (DeepLab v3+ with ResNet-101)	71.7	Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
LogicDiag (DeepLab v3+ with ResNet-101)	77.9	Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation	-
S4MC	79.09	Semi-Supervised Semantic Segmentation via Marginal Contextual Information
PrevMatch (ResNet-50)	77.5	Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
AllSpark	79.77	AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
SemiVL (ViT-B/16)	86.0	SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
PrevMatch (ResNet-101)	79.6	Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation

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