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HyperAI超神经

Semantic Segmentation On Pothole Mix

评估指标

Test Dice Multiclass

Test mIoU

Validation Dice Multiclass

Validation mIoU

评测结果

各个模型在此基准测试上的表现结果

模型名称	Test Dice Multiclass	Test mIoU	Validation Dice Multiclass	Validation mIoU	Paper Title	Repository
HCMUS-SegFormer	0 .747	0 .628	0 .637	0 .523	SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
Baseline - DeepLabv3+	0 .789	0 .676	0 .814	0 .711	SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
HCMUS-CPS-DLU-Net	0 .789	0 .677	0 .763	0 .647	SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
PUCP-Unet++	0 .832	0 .731	0 .800	0 .694	SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
PUCP-Unet	0 .824	0 .720	0 .804	0 .698	SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
HCMUS-DeepLabv3+	0 .823	0 .719	0 .802	0 .695	SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
PUCP-MAnet	0 .827	0 .725	0 .810	0 .705	SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data

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