Domain Adaptation on Cityscapes-to-FoggyZurich

Metric: mIoU (higher is better)

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#	Model↕	mIoU▼	Augmentations	Paper	Date↕	Code
1	CoDA	60.9	No	CoDA: Instructive Chain-of-Domain Adaptation wit...	2024-03-26	Code
2	BWG	51.3	No	-	-	Code
3	FogAdapt+	50.6	No	FogAdapt: Self-Supervised Domain Adaptation for ...	2022-01-07	-
4	CuDA-Net	49.1	No	Both Style and Fog Matter: Cumulative Domain Ada...	2021-12-01	-
5	FIFO	48.4	No	FIFO: Learning Fog-invariant Features for Foggy ...	2022-04-04	Code
6	CMAda3+	46.8	No	Curriculum Model Adaptation with Synthetic and R...	2019-01-05	Code

#1CoDASOTA
60.9
mIoU· 2024-03-26
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning Code
#2BWG
51.3
mIoU
No paperCode
#3FogAdapt+SOTA
50.6
mIoU· 2022-01-07
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images
#4CuDA-NetSOTA
49.1
mIoU· 2021-12-01
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
#5FIFO
48.4
mIoU· 2022-04-04
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation Code
#6CMAda3+SOTA
46.8
mIoU· 2019-01-05
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding Code