Tensor Decomposition for Salient Object Detection in Images
The fundamental challenge of salient object detection is to find the decision boundary that separates the salient object from the background. Low-rank recovery models address this challenge by decomposing an image or image feature-based matrix into a low-rank matrix representing the image background...
| Published in: | Big Data and Cognitive Computing |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-06-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/3/2/33 |