Saliency Detection: A Spectral Residual Approach
介紹 文章出自2007年好像當時是大三的上交大神 現在是圖森創世兼CTO，侯曉迪。引用某老師的話：「簡單，出奇的簡單！這篇論文一共5行matlab代碼，比一般論文abstract中的字符還少，作者直接貼到論文中了。」 谷歌被引截至目前已達3330。 顯著性檢測：一種頻譜殘差方法 摘要 人類視覺系統檢測視覺顯著性的能力是非常快速和可靠的。然而，對這一基本智能行爲的計算機建模仍然是一個挑戰。作者提出了
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相關文章
- 1. 顯著性檢測（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 論文
- 9. Cluster-based Co-saliency Detection筆記
- 10. Saliency Detection by Multi-Task Sparsity Puisuit