三种显著性检测算法(SR,HFT,GBMR)
一、谱残差(Spectral Residual, SR)
一种简单的图像显著性计算模型
http://www.cnblogs.com/CCBB/archive/2011/05/19/2051442.html
图像显著性论文(二)—Saliency Detection: A Spectral Residual Approach
https://blog.csdn.net/chenjiazhou12/article/details/39522467
Spectral Residual 小记
http://lowrank.science/Spectral-Residual/
二、超复数傅里叶变换(Hypercomplex Fourier Transform, HFT)
主页:论文、代码、实验结果
https://sites.google.com/site/jianlinudt/hft
三、基于图形的流形排序(Graph-Based Manifold Ranking, GBMR)
图像显著性处理–流形排序算法
https://blog.csdn.net/qq_16786501/article/details/75568363
基于流行排序的显著性检测方法-MR
https://blog.csdn.net/qq_22238021/article/details/74078929