Similarity activation map for co-salient object detection

doi:10.1016/j.patrec.2022.10.009

CORC > 自动化研究所 > 中国科学院自动化研究所 > 综合信息系统研究中心 > 脑机融合与认知评估

	Similarity activation map for co-salient object detection
	Wang, Yu 1,2; Li, Shuxiao 1,2
刊名	PATTERN RECOGNITION LETTERS
	2022-11-01
卷号	163 页码:159-167
关键词	Co-salient object detection Similarity activation map Feature modulation Edge guidance
ISSN号	0167-8655
DOI	10.1016/j.patrec.2022.10.009
通讯作者	Li, Shuxiao(shuxiao.li@ia.ac.cn)
英文摘要	Co-salient object detection aims to detect the common objects within a group of relevant images, to which the spatial similarity contributes a lot. Existing methods utilize the inner product to compute the pixel-wise correlations, imitating the tracking methods. We present a novel yet effective module (Simi-larity Activation Module, SAM) to generate the similarity activation maps as the spatial modulator. The similarity activation maps are learned to highlight the common objects across the multiple images while suppressing other objects and the background. Moreover, we propose the Edge Extraction Module (EEM) and Feature Fusion Module (FFM) which can be easily applied to any existing methods without requiring architectural changes. Extensive experiments on different co-salient detection datasets demonstrate that our method (SimiNet) achieves state-of-the-art performance under various evaluation metrics.(c) 2022 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foun-dation of China ; [62076020]
WOS关键词	DEEP
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000877215000012
资助机构	National Natural Science Foun-dation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/50550]
专题	综合信息系统研究中心_脑机融合与认知评估
通讯作者	Li, Shuxiao
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yu,Li, Shuxiao. Similarity activation map for co-salient object detection[J]. PATTERN RECOGNITION LETTERS,2022,163:159-167.
APA	Wang, Yu,&Li, Shuxiao.(2022).Similarity activation map for co-salient object detection.PATTERN RECOGNITION LETTERS,163,159-167.
MLA	Wang, Yu,et al."Similarity activation map for co-salient object detection".PATTERN RECOGNITION LETTERS 163(2022):159-167.