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gbvs
- 显著区域提取程序，比ITTI的有所提高，很好用。-Significant regional extraction procedure, compared with ITTI'
gbvs_winbinaries
- 基 于 itti显 著 图 的 图 像 显 著 区 域 提 取 ,搞这方面的可以看 看 -Itti-based image map marked a significant regional extraction, to engage in this area can look at
gbvs
- 新的自下而上的视dmits combination with other maps. The model is simple, and biologically plausible insofar as it is naturally parallelized. This model powerfully predicts human xations on 749 variations of 108 natural images, achieving 98% of the ROC area
Itti-Matlab
- 经典很好的显著性算法ltti，可以使用，应该有帮助(Classic very significant algorithm ltti, can be used, should be helpful)
ITTI
- itti显著性代码，生成显著图，并能够以热度图的形式展示(The ITTI saliency code generates saliency maps and can be shown in the form of a heat map)
gbvs_hype_v1-master
- gbvs_nips 基于图的显著性。Graph-Based Visual Saliency。是发表在2006年NIPS上的论文。(A new bottom-up visual saliency model, Graph-Based Visual Saliency (GBVS), is proposed. It consists of two steps: first forming activation maps on certain feature channels, and then nor