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Semi Supervised Semantic Segmentation On 4

评估指标

Validation mIoU

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
AllSpark82.04%AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
UniMatch81.92%Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
PrevMatch (ResNet-101)81.9Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
CorrMatch (Deeplabv3+ with ResNet-101)81.9%CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
Dual Teacher81.19Switching Temporary Teachers for Semi-Supervised Semantic Segmentation-
PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)80.71%Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
S4MC79.67%Semi-Supervised Semantic Segmentation via Marginal Contextual Information
U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix)79.01%Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
PS-MT78.20%Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
n-CPS (ResNet-101)77.99%n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation-
AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)77.57%Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
CPS76.44%Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
GuidedMix-Net76.4%GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
CPCL (DeepLab v3+ with ResNet-101)76.4%Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
CW-BASS (DeepLab v3+ with ResNet-50)75.81%CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
PS-MT75.70%Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
PCT (DeepLab v3+ with ResNet-50 pretrained on ImageNet-1K)75.52%Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation-
Error Localization Network75.10%Semi-supervised Semantic Segmentation with Error Localization Network
n-CPS74.21%n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation-
CPCL (DeepLab v3+ with ResNet-50)73.74%Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
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Semi Supervised Semantic Segmentation On 4 | SOTA | HyperAI超神经