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Plattform
Startseite
SOTA
Domainverallgemeinerung
Domain Generalization On Gta To Avg
Domain Generalization On Gta To Avg
Metriken
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
mIoU
Paper Title
SoRA
68.27
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
tqdm (EVA02-CLIP-L)
66.05
Textual Query-Driven Mask Transformer for Domain Generalized Segmentation
Rein
64.3
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
VLTSeg
63.5
Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning
CLOUDS
61.5
Collaborating Foundation Models for Domain Generalized Semantic Segmentation
DIDEX
59.7
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation
DGInStyle
57.78
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
DIFF
57.15
Diffusion Features to Bridge Domain Gap for Semantic Segmentation
HRDA
55.9
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation
DAFormer
51.73
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation
CMFormer
51.10
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
ReVT
50.2
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
TLDR
47.09
Texture Learning Domain Randomization for Domain Generalized Segmentation
SHADE
45.27
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
Self-adaptation (ResNet - 101)
44,89
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Self-adaptation (ResNet - 50)
44,07
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
SAN-SAW
42.43
Semantic-Aware Domain Generalized Segmentation
AdvStyle
42.42
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
GTR
40.8
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
DRPC
39.77
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data
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