- Zhenzhong Lan, Shoou-I Yu, Ming Lin, B. Raj, Alexander Hauptmann. 2015. Handcrafted Local Features are Convolutional Neural Networks. Abstract: Image and video classification research has made great progress through the development of handcrafted local features and learning based features. These two architectures were proposed roughly at the same time and have flourished at overlapping stages of history. However, they are typically viewed as distinct approaches. In this paper, we emphasize their structural similarities and show how such a unified view helps us in designing features that balance efficiency and effectiveness. As an example, we study the problem of designing efficient video feature learning algorithms for action recognition. 
