Saliency Detection: A Spectral Residual Approach
介绍 文章出自2007年好像当时是大三的上交大神 现在是图森创世兼CTO，侯晓迪。引用某老师的话：“简单，出奇的简单！这篇论文一共5行matlab代码，比一般论文abstract中的字符还少，作者直接贴到论文中了。” 谷歌被引截至目前已达3330。 显著性检测：一种频谱残差方法 摘要 人类视觉系统检测视觉显著性的能力是非常快速和可靠的。然而，对这一基本智能行为的计算机建模仍然是一个挑战。作者提出了
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相关文章
- 1. 显著性检测（一）Saliency Detection: A Spectral Residual Approach
- 2. 2017-05-28 Salient Object detection: A Discriminative Regional Feature Integration Approach
- 3. Paper reading :Hierarchical Saliency Detection
- 4. Background Prior-Based Salient Object Detection via Deep Reconstruction Residual
- 5. Bridging the Gap Between Detection and Tracking: A Unified Approach
- 6. Tracking by Instance Detection: A Meta-Learning Approach
- 7. PAMI 2010 Context-aware saliency detection
- 8. CVPR 2018 Saliency Detection 论文
- 9. Cluster-based Co-saliency Detection笔记
- 10. Saliency Detection by Multi-Task Sparsity Puisuit