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Semantic Segmentation On Ddd17

Métriques

mIoU

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	mIoU	Paper Title	Repository
ESS	61.37	ESS: Learning Event-based Semantic Segmentation from Still Images
SegFormer-B2	71.05	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
EDCNet-S2D	61.99	Exploring Event-driven Dynamic Context for Accident Scene Segmentation
EV-SegNet	54.81	EV-SegNet: Semantic Segmentation for Event-based Cameras	-
CMNeXt	72.67	Delivering Arbitrary-Modal Semantic Segmentation
SegNeXt-B	71.46	SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
CMX	71.88	CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
HALSIE	60.66	HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities	-

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Semantic Segmentation On Ddd17 | SOTA | HyperAI