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SOTA
合成から実際の翻訳
Synthetic To Real Translation On Synthia To 1
Synthetic To Real Translation On Synthia To 1
評価指標
MIoU (13 classes)
MIoU (16 classes)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
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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