412 citations · 431 across the 7 of their papers we have counts for
7 papers
Competing Ratio Loss for Discriminative Multi-class Image Classification
Ke Zhang, Yurong Guo, Xinsheng Wang +4
The development of deep convolutional neural network architecture is critical to the improvement of image classification task performance. Many image classification studies use dee…
Competing Ratio Loss for Discriminative Multi-class Image Classification
Ke Zhang, Xinsheng Wang, Yurong Guo +3
The development of deep convolutional neural network architecture is critical to the improvement of image classification task performance. A lot of studies of image classification…
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
Ke Zhang, Ce Gao, Liru Guo +5
Automatically predicting age group and gender from face images acquired in unconstrained conditions is an important and challenging task in many real-world applications. Neverthele…
Multiple Instance Learning Convolutional Neural Networks for Object Recognition
Miao Sun, Tony X. Han, Ming-Chang Liu +1
Convolutional Neural Networks (CNN) have demon- strated its successful applications in computer vision, speech recognition, and natural language processing. For object recog- nitio…
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang, Miao Sun, Tony X. Han +3
A residual-networks family with hundreds or even thousands of layers dominates major image recognition tasks, but building a network by simply stacking residual blocks inevitably l…
A Classification Leveraged Object Detector
Miao Sun, Tony X. Han, Zhihai He
Currently, the state-of-the-art image classification algorithms outperform the best available object detector by a big margin in terms of average precision. We, therefore, propose…