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 Coca

評価指標

MAE

Mean F-measure

S-measure

max E-measure

max F-measure

mean E-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	Mean F-measure	S-measure	max E-measure	max F-measure	mean E-measure	Paper Title	Repository
GCoNet	0.105	0.531	0.673	0.760	0.544	0.739	Group Collaborative Learning for Co-Salient Object Detection
DCFM	0.085	0.593	0.710	0.783	0.598	0.778	Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection
GICD	0.126	0.504	0.658	0.715	0.513	0.701	Gradient-Induced Co-Saliency Detection
DMT	0.108	0.590	0.725	0.800	0.619	0.753	Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection	-
CADC	0.133	0.503	0.68	0.745	0.550	0.69	Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
CoEG-Net	0.106	0.450	0.612	0.717	0.493	0.679	Re-thinking Co-Salient Object Detection
CSMG	-	0.390	0.627	-	0.499	0.606	Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing	-
EGNet	-	0.391	0.603	-	0.404	0.622	EGNet: Edge Guidance Network for Salient Object Detection
UFO	0.095	0.555	0.697	0.782	0.571	0.762	A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
GCoNet+	0.081	0.612	0.738	0.814	0.637	0.783	GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector

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