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Semantic Segmentation On Pothole Mix

Metriken

Test Dice Multiclass

Test mIoU

Validation Dice Multiclass

Validation mIoU

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	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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Semantic Segmentation On Pothole Mix | SOTA | HyperAI