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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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| 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 |