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Semi Supervised Semantic Segmentation On 22

평가 지표

Validation mIoU

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이 벤치마크에서 각 모델의 성능 결과

Paper Title
UniMatch V2 (DINOv2-B)83.6UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
SemiVL (ViT-B/16)77.9SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
PrevMatch (ResNet-101)77.7%Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
CorrMatch (Deeplabv3+ with ResNet-101)77.3CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
S4MC77.00Semi-Supervised Semantic Segmentation via Marginal Contextual Information
Dual Teacher (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)76.81Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
UniMatch (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)76.59Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
n-CPS (ResNet-50)76.08n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation
AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)75.83%Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
PrevMatch (ResNet-50)75.8%Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
CW-BASS (DeepLab v3+ with ResNet-50)75.00CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, AEL)74.90%Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)73.41%Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval)71.1%Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Dense FixMatch (DeepLabv3+ ResNet-50, uniform sampling, single pass eval)70.65%Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
CPCL (DeepLab v3+ with ResNet-50)69.92%Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
CPS (DeepLab v3+ with ResNet-101)69.8Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
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