Salient object detection with low-rank approximation and ℓ_2,1-norm minimization

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• 作者：Shiping Wang^a ; ^b ; Aiping Huang^c ; ^{sxxhap@163.com}
• 关键词：Compute vision ; Image processing ; Saliency detection ; Sparse coding ; Low-rank approximation ; ℓ2 ; 1 -norm minimization
• 刊名：Image and Vision Computing
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：57
• 期：Complete
• 页码：67-77
• 全文大小：2211 K
• 卷排序：57

文摘

Propose an efficient algorithm for low-rank approximation Develop a new method with proved convergence to learn sparsity Incorporate low-rank recovery and sparse coding into one joint framework Validate the proposed algorithm with parameter sensitivity and performance