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SOTA
域适应
Domain Adaptation On Cityscapes To Acdc
Domain Adaptation On Cityscapes To Acdc
评估指标
mIoU
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
Paper Title
Repository
SoRA
78.8
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
Rein
77.6
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
CoDA
72.6
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
Refign (HRDA)
72.1
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
HALO
71.9
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
MIC
70.4
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
HRDA
68.0
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
Refign (DAFormer)
65.5
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
VBLC (DAFormer)
64.2
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
CMFormer
60.1
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
DAFormer
55.4
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
DANNet
50.0
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
MGCDA
48.7
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
VBLC (DeepLabv2)
47.8
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
FDA (DeepLabv2)
45.7
FDA: Fourier Domain Adaptation for Semantic Segmentation
DACS (DeepLabv2)
41.2
DACS: Domain Adaptation via Cross-domain Mixed Sampling
0 of 16 row(s) selected.
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Domain Adaptation On Cityscapes To Acdc | SOTA | HyperAI超神经