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Camouflaged Object Segmentation On Camo

Métriques

MAE

S-Measure

Weighted F-Measure

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	MAE	S-Measure	Weighted F-Measure	Paper Title	Repository
SINet-V2	0.070	0.820	0.743	Concealed Object Detection
PraNet	0.094	0.769	0.663	PraNet: Parallel Reverse Attention Network for Polyp Segmentation
EGNet	0.104	0.732	0.583	EGNet: Edge Guidance Network for Salient Object Detection
BiRefNet	0.030	0.904	0.890	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
ZoomNeXt-PVTv2-B5	0.041	0.889	0.857	ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
EVPv1	0.059	0.846	0.777	Explicit Visual Prompting for Low-Level Structure Segmentations
ZoomNeXt-PVTv2-B4	0.04	0.888	0.859	ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
SINet	0.100	0.751	0.606	Camouflaged Object Detection
EVPv2	0.058	0.848	0.786	Explicit Visual Prompting for Universal Foreground Segmentations
MirrorNet-ResNeXt152	0.077	0.785	0.719	MirrorNet: Bio-Inspired Camouflaged Object Segmentation	-
SAMFusion	0.0560	-	0.833	Improving existing segmentators performance with zero-shot segmentators
BASNet	0.159	0.618	0.413	BASNet: Boundary-Aware Salient Object Detection	-
ZoomNeXt-ResNet-50	0.065	0.833	0.774	ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection

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