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Semi Supervised Semantic Segmentation On 27

Metrics

Validation mIoU

Results

Performance results of various models on this benchmark

Paper Title
UniMatch V2 (DINOv2-B)86.3UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
SemiVL (ViT-B/16)84.0SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
UniMatch (ViT-B/16)77.9SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
PrevMatch (ResNet-101)77.0Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
CorrMatch (Deeplabv3+ with ResNet-101)76.4CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
AllSpark76.07AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
UniMatch (DeepLab v3+ with ResNet-101)75.20Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
S4MC74.72Semi-Supervised Semantic Segmentation via Marginal Contextual Information
PrevMatch (ResNet-50)73.4Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
LogicDiag (DeepLab v3+ with ResNet-101)73.3Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
CW-BASS (DeepLab v3+ with ResNet-50)72.8CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
U2PL (DeepLab v3+ with ResNet-101)68.0Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
CPS (DeepLab v3+ with ResNet-101)64.1Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
CPCL (DeepLab v3+ with ResNet-50)61.88Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
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Semi Supervised Semantic Segmentation On 27 | SOTA | HyperAI