HyperAI超神経

ホームニュース最新論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

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日本語

HyperAI超神経

Co Salient Object Detection On Cosal2015

評価指標

MAE

S-measure

max E-measure

max F-measure

mean E-measure

mean F-measure

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	MAE	S-measure	max E-measure	max F-measure	mean E-measure	mean F-measure	Paper Title	Repository
GICD	0.071	0.844	0.887	0.844	0.883	0.835	Gradient-Induced Co-Saliency Detection
DCFM	0.067	0.838	0.893	0.856	0.889	0.850	Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection
GCoNet+	0.0563	0.881	0.924	0.891	0.902	0.870	GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
GCoNet	0.068	0.845	0.888	0.847	0.884	0.838	Group Collaborative Learning for Co-Salient Object Detection
DMT	0.045	0.897	0.936	0.905	0.922	0.883	Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection	-
CoEG-Net	0.077	0.836	0.882	0.832	0.867	0.827	Taking a Deeper Look at Co-Salient Object Detection
CSMG	0.130	0.774	0.842	0.784	-	-	Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing	-
UFO	0.064	0.860	0.906	0.865	0.889	0.848	A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
CADC	0.064	0.866	0.906	0.864	0.874	0.825	Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
EGNet	0.099	0.818	0.843	0.786	-	-	EGNet: Edge Guidance Network for Salient Object Detection

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