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Semi Supervised Semantic Segmentation On 29

Metrics

Validation mIoU

Results

Performance results of various models on this benchmark

Model Name
Validation mIoU
Paper TitleRepository
UniMatch V2 (DINOv2-B)88.9UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
CPCL (DeepLab v3+ with ResNet-50)72.14Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
CorrMatch (Deeplabv3+ with ResNet-101)79.4CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
UniMatch (DeepLab v3+ with ResNet-101)78.80Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
UniMatch (ViT-B/16)82.0SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
U2PL (DeepLab v3+ with ResNet-101)73.7Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
CPS (DeepLab v3+ with ResNet-101)71.7Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
LogicDiag (DeepLab v3+ with ResNet-101)77.9Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation-
S4MC79.09Semi-Supervised Semantic Segmentation via Marginal Contextual Information
PrevMatch (ResNet-50)77.5Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
AllSpark79.77AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
SemiVL (ViT-B/16)86.0SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
PrevMatch (ResNet-101)79.6Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
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