2 papers
cs.CV2020
Analyzing the Dependency of ConvNets on Spatial Information
Yue Fan, Yongqin Xian, Max Maria Losch +1
Intuitively, image classification should profit from using spatial information. Recent work, however, suggests that this might be overrated in standard CNNs. In this paper, we are…
cs.CV2018
Parameter-Free Spatial Attention Network for Person Re-Identification
Haoran Wang, Yue Fan, Zexin Wang +2
Global average pooling (GAP) allows to localize discriminative information for recognition [40]. While GAP helps the convolution neural network to attend to the most discriminative…