29 citations · 62 across the 10 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 11 cited
Guided Attention Network for Object Detection and Counting on Drones
Yuanqiang Cai, Dawei Du, Libo Zhang +4
Object detection and counting are related but challenging problems, especially for drone based scenes with small objects and cluttered background. In this paper, we propose a new G…
cs.CV2019★ 1 cited
Learning Discriminative Features Via Weights-biased Softmax Loss
XiaoBin Li, WeiQiang Wang
Loss functions play a key role in training superior deep neural networks. In convolutional neural networks (CNNs), the popular cross entropy loss together with softmax does not exp…
cs.CV2019★ 29 cited
Reinterpreting CTC training as iterative fitting
Hongzhu Li, Weiqiang Wang
The connectionist temporal classification (CTC) enables end-to-end sequence learning by maximizing the probability of correctly recognizing sequences during training. The outputs o…