Authors: Canjie Luo, Zhaohai Li, Lianwen Jin, Zenghui Sun, Yuliang Liu, Qinghe Zeng
Description: A CNN-based classification method is used. During the training phase, sub-group-of-images are ran- domly cropped. In the test phase, a novel sliding window method is applied on the entire image, which can be regarded as convolutional stride (replaced full connection layer by convolution layer). The category with the top confidence is chosen as the final result. A image-size normalization method is also used for further improving the results.