Edge Distraction-aware Salient Object Detection

• Main Authors: REN, Sucheng, LIU, Wenxi, JIAO, Jianbo, HAN, Guoqiang, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Feature extraction; Image edge detection; Object detection; Visualization; Filling; Task analysis; Convolution; Graphics and Human Computer Interfaces; Software Engineering
• 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
• Institution: Singapore Management University

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...