Assisted Excitation of Activations: A Learning Technique to Improve Object Detect
CVPR2019 很简单的一篇文章，不是在网络结构设计或者loss上做改进， 而是提出一种简单的学习策略。它基于curriculum learning 的思想：如果我们先学习简单的任务， 再学习复杂的任务， 我们会取得更好的效果。 以YOLO为例： 在YOLO的网络中加入这样的辅助激发层(AE）。 它根据ground truth的位置， 在原有特征图上激发对应位置（实质也是attention）。E
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相关文章
- 1. Assisted Excitation of Activations:A Learning Technique to Improve Object Detectors论文解读
- 2. CVPR 2007 Learning to detect a salient object
- 3. How To Improve Deep Learning Performance
- 4. [论文笔记] - PARTICULAR OBJECT RETRIEVAL WITH INTEGRAL MAX-POOLING OF CNN ACTIVATIONS
- 5. 2020-10-03 Object detect
- 6. Using AJAX to Improve the Bandwidth Performance of Web Applications
- 7. Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer(阅读报告)
- 8. Reading Note: Detect to Track and Track to Detect
- 9. Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities using Machine Learning
- 10. A journey of English learning three