Progressive self-guided loss for salient object detection

Progressive self-guided loss for salient object detection

We present a simple yet effective progressive self-guided loss function to facilitate deep learning-based salient object detection (SOD) in images. The saliency maps produced by the most relevant works still suffer from incomplete predictions due to the internal complexity of salient objects. Our pr...

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Bibliographic Details
Main Authors: Yang, Sheng, Lin, Weisi, Lin, Guosheng, Jiang, Qiuping, Liu, Zichuan
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Salient Object Detection
Deep Learning
Online Access:https://hdl.handle.net/10356/155736

Internet

https://hdl.handle.net/10356/155736

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