Semantic Segmentation On Pothole Mix

Metriken

Test Dice Multiclass

Test mIoU

Validation Dice Multiclass

Validation mIoU

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

					Paper Title
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