3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2019★ 3 cited
Learning to Count Objects with Few Exemplar Annotations
Jianfeng Wang, Rong Xiao, Yandong Guo +1
In this paper, we study the problem of object counting with incomplete annotations. Based on the observation that in many object counting problems the target objects are normally r…
cs.CV2019★ 2 cited
High Frequency Residual Learning for Multi-Scale Image Classification
Bowen Cheng, Rong Xiao, Jianfeng Wang +2
We present a novel high frequency residual learning framework, which leads to a highly efficient multi-scale network (MSNet) architecture for mobile and embedded vision problems. T…
cs.CV2018
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition
Bowen Cheng, Rong Xiao, Yandong Guo +3
We study in this paper how to initialize the parameters of multinomial logistic regression (a fully connected layer followed with softmax and cross entropy loss), which is widely u…