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SOTA
Synthetic-to-Real Translation
Synthetic To Real Translation On Synthia To 1
Synthetic To Real Translation On Synthia To 1
Metrics
MIoU (13 classes)
MIoU (16 classes)
Results
Performance results of various models on this benchmark
Columns
Model Name
MIoU (13 classes)
MIoU (16 classes)
Paper Title
DCF
75.9
69.3
Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
HRDA+PiPa
74.8
68.2
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
MIC
74.0
67.3
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
HRDA
72.4
65.8
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
SePiCo
71.4
64.3
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
CAMix (w DAFormer)
69.2
-
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
EHTDI*
69.2
61.3
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation
DAFormer
67.4
60.9
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
SePiCo (ResNet-101)
66.5
58.1
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
TransDA-B
66.3
59.3
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
EHTDI
64.6
57.8
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation
G2L
64.4
56.8
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation
ProDA+CRA
63.7
56.9
Cross-Region Domain Adaptation for Class-level Alignment
CorDA(ResNet-101)
62.8
55.0
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
ProDA(ResNet-101)
62.0
55.5
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
DSP(ResNet-101)
59.9
51.0
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
CAMix (ResNet 101)
59.7
-
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
SAC(ResNet-101)
59.3
52.6
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
CLST(ResNet-101)
57.8
49.8
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
Uncertainty + Adaboost (ResNet-101)
57.5
50.4
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
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