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
Semantic Segmentation
Semantic Segmentation On Synthia To
Semantic Segmentation On Synthia To
Metrics
Mean IoU
Results
Performance results of various models on this benchmark
Columns
Model Name
Mean IoU
Paper Title
HRDA + PiPa
68.2
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
MIC
67.3
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
HRDA
65.8
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
SePiCo
64.3
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
DAFormer + ProCST
61.6
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
DAFormer
60.9
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
TransDA-B
59.3
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
0 of 7 row(s) selected.
Previous
Next