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المنصة
الرئيسية
SOTA
التكيف النطاقي
Domain Adaptation On Cityscapes To Acdc
Domain Adaptation On Cityscapes To Acdc
المقاييس
mIoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
mIoU
Paper Title
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
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Domain Adaptation On Cityscapes To Acdc | SOTA | HyperAI