Edge Distraction-aware Salient Object Detection

Integrating low-level edge features has been proven to be effective in preserving clear boundaries of salient objects. However, the locality of edge features makes it difficult to capture globally salient edges, leading to distraction in the final predictions. To address this problem, we propose to...

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Bibliographic Details
Main Authors: REN, Sucheng, LIU, Wenxi, JIAO, Jianbo, HAN, Guoqiang, HE, Shengfeng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8273
https://ink.library.smu.edu.sg/context/sis_research/article/9276/viewcontent/Edge_Distraction_aware_av.pdf
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Institution: Singapore Management University
Language: English