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Domain Generalization On Gta To Avg
Domain Generalization On Gta To Avg
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mIoU
평가 결과
이 벤치마크에서 각 모델의 성능 결과
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모델 이름
mIoU
Paper Title
Repository
ReVT
50.2
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
HRDA
55.9
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation
tqdm (EVA02-CLIP-L)
66.05
Textual Query-Driven Mask Transformer for Domain Generalized Segmentation
SHADE
45.27
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
RobustNet
37.37
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
SAN-SAW
42.43
Semantic-Aware Domain Generalized Segmentation
IBN
34.63
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
GTR
40.8
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
-
Rein
64.3
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
SoRA
68.27
SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning
CLOUDS
61.5
Collaborating Foundation Models for Domain Generalized Semantic Segmentation
DAFormer
51.73
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation
DRPC
39.77
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data
-
TLDR
47.09
Texture Learning Domain Randomization for Domain Generalized Segmentation
AdvStyle
42.42
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
CMFormer
51.10
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
DIFF
57.15
Diffusion Features to Bridge Domain Gap for Semantic Segmentation
DGInStyle
57.78
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
-
Self-adaptation (ResNet - 101)
44,89
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
DIDEX
59.7
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation
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