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SOTA
Semi-Supervised Semantic Segmentation
Semi Supervised Semantic Segmentation On 21
Semi Supervised Semantic Segmentation On 21
Metrics
Validation mIoU
Results
Performance results of various models on this benchmark
Columns
Model Name
Validation mIoU
Paper Title
AllSpark
81.65
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
PrevMatch (ResNet-101)
81.4
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
CorrMatch (Deeplabv3+ with ResNet-101)
81.3
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
UniMatch (DeepLab v3+ with ResNet-101)
80.94
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
S4MC
78.84
Semi-Supervised Semantic Segmentation via Marginal Contextual Information
Dual Teacher
78.82
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)
78.6
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix)
77.21
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)
77.2
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
n-CPS (ResNet-101)
75.86
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation
CPCL (DeepLab v3+ with ResNet-101)
73.44
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
n-CPS (ResNet-50)
72.03
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation
CPCL (DeepLab v3+ with ResNet-50)
71.66
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
PCT (DeepLab v3+ with ResNet-50 pretrained on ImageNet-1K)
71.35
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation
Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval)
54.85
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Dense FixMatch (DeepLabv3+ ResNet-50, over-sampling, single pass eval)
52.15
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
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Semi Supervised Semantic Segmentation On 21 | SOTA | HyperAI