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SOTA
Domain Adaptation
Domain Adaptation On Cityscapes To
Domain Adaptation On Cityscapes To
Metrics
mIoU
Results
Performance results of various models on this benchmark
Columns
Model Name
mIoU
Paper Title
CoDA
60.9
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
BWG
51.3
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet Guidance
FogAdapt+
50.6
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images
CuDA-Net
49.1
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
FIFO
48.4
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
CMAda3+
46.8
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
0 of 6 row(s) selected.
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HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Domain Adaptation
Domain Adaptation On Cityscapes To
Domain Adaptation On Cityscapes To
Metrics
mIoU
Results
Performance results of various models on this benchmark
Columns
Model Name
mIoU
Paper Title
CoDA
60.9
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
BWG
51.3
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet Guidance
FogAdapt+
50.6
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images
CuDA-Net
49.1
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
FIFO
48.4
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
CMAda3+
46.8
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
0 of 6 row(s) selected.
Previous
Next
Domain Adaptation On Cityscapes To | SOTA | HyperAI