Unifying global-local representations in salient object detection with transformers

• Main Authors: REN, Sucheng, ZHAO, Nanxuan, WEN, Qiang, HAN, Guoqiang, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Transformer; salient object detection; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9769; https://ink.library.smu.edu.sg/context/sis_research/article/10769/viewcontent/2108.02759v2__1_.pdf
• Institution: Singapore Management University

The fully convolutional network (FCN) has dominated salient object detection for a long period. However, the locality of CNN requires the model deep enough to have a global receptive field and such a deep model always leads to the loss of local details. In this paper, we introduce a new attention-ba...