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Domain Generalization On Gta To Avg

Metrics

mIoU

Results

Performance results of various models on this benchmark

Model Name
mIoU
Paper TitleRepository
ReVT50.2A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation-
HRDA55.9Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation-
tqdm (EVA02-CLIP-L)66.05Textual Query-Driven Mask Transformer for Domain Generalized Segmentation-
SHADE45.27Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation-
RobustNet37.37RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening-
SAN-SAW42.43Semantic-Aware Domain Generalized Segmentation-
IBN34.63Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net-
GTR40.8Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation-
Rein64.3Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation-
SoRA68.27SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning-
CLOUDS61.5Collaborating Foundation Models for Domain Generalized Semantic Segmentation-
DAFormer51.73Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation-
DRPC39.77Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data-
TLDR47.09Texture Learning Domain Randomization for Domain Generalized Segmentation-
AdvStyle42.42Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation-
CMFormer51.10Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation-
DIFF57.15Diffusion Features to Bridge Domain Gap for Semantic Segmentation-
DGInStyle57.78DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control-
Self-adaptation (ResNet - 101)44,89Semantic Self-adaptation: Enhancing Generalization with a Single Sample-
DIDEX59.7Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation-
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Domain Generalization On Gta To Avg | SOTA | HyperAI