17 citations · 34 across the 3 of their papers we have counts for
5 papers · 1 filter
Gaussian Constrained Attention Network for Scene Text Recognition
Zhi Qiao, Xugong Qin, Yu Zhou +2
Scene text recognition has been a hot topic in computer vision. Recent methods adopt the attention mechanism for sequence prediction which achieve convincing results. However, we a…
Two-Level Residual Distillation based Triple Network for Incremental Object Detection
Dongbao Yang, Yu Zhou, Dayan Wu +3
Modern object detection methods based on convolutional neural network suffer from severe catastrophic forgetting in learning new classes without original data. Due to time consumpt…
Self-Training for Domain Adaptive Scene Text Detection
Yudi Chen, Wei Wang, Yu Zhou +3
Though deep learning based scene text detection has achieved great progress, well-trained detectors suffer from severe performance degradation for different domains. In general, a…
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Dmitrii Marin, Zijian He, Peter Vajda +4
Many automated processes such as auto-piloting rely on a good semantic segmentation as a critical component. To speed up performance, it is common to downsample the input frame. Ho…
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Xi Peng, Zhiqiang Tang, Fei Yang +2
Random data augmentation is a critical technique to avoid overfitting in training deep neural network models. However, data augmentation and network training are usually treated as…