Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Semantic Segmentation On Dark Zurich

Metrics

mIoU

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Refign (HRDA)	63.9	Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
CoDA	61.2	CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
MIC	60.2	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
Refign (DAFormer)	56.2	Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
HRDA	55.9	HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
SePiCo	54.2	SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
DAFormer	53.8	DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
GPS-GLASS	46.4	GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
SePiCo (DeepLab v2 ResNet-101)	45.4	SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
DANNet (DeepLab v2 ResNet-101)	42.5	DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
MGCDA	42.5	Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
GCMA	42.0	Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
DANNet	36.76	DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
CIConv	34.5	Zero-Shot Day-Night Domain Adaptation with a Physics Prior

0 of 14 row(s) selected.

Semantic Segmentation On Dark Zurich | SOTA | HyperAI