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SOTA
无监督域适应
Unsupervised Domain Adaptation On Synthia To
Unsupervised Domain Adaptation On Synthia To
评估指标
mIoU
mIoU (13 classes)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
mIoU
mIoU (13 classes)
Paper Title
Repository
DCF
69.3
75.9
Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
MIC+CSI
68.8
75.9
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs
HRDA + PiPa
-
74.8
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
MIC
67.3
74.0
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
HRDA
65.8
72.4
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
SePiCo
-
71.4
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
DIDA
63.3
70.1
Dual-level Interaction for Domain Adaptive Semantic Segmentation
DAFormer + ProCST
-
68.2
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
DAFormer
60.9
67.4
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
SePiCo (DeepLabv2 ResNet-101)
-
66.5
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
TransDA-B
-
66.3
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
G2L
56.8
64.4
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation
-
FAFS
54.5
61.4
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment
-
Re-EnD-UDA
52.58
59.95
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation
ProCA(ResNet-101)
-
59.6
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation
Uncertainty + Adaboost
50.4
57.5
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
Uncertainty
47.9
54.9
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
MRNet + Adaboost
45.9
52.9
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
MRNet
43.2
50.2
Unsupervised Scene Adaptation with Memory Regularization in vivo
CLUDA+HRDA
67.2
-
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation
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