168 citations · 359 across the 17 of their papers we have counts for
4 papers · 1 filter
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Peng Tu, Yawen Huang, Feng Zheng +3
Semi-supervised learning is a challenging problem which aims to construct a model by learning from limited labeled examples. Numerous methods for this task focus on utilizing the p…
Active Learning for Deep Visual Tracking
Di Yuan, Xiaojun Chang, Yi Yang +3
Convolutional neural networks (CNNs) have been successfully applied to the single target tracking task in recent years. Generally, training a deep CNN model requires numerous label…
Saliency-Associated Object Tracking
Zikun Zhou, Wenjie Pei, Xin Li +3
Most existing trackers based on deep learning perform tracking in a holistic strategy, which aims to learn deep representations of the whole target for localizing the target. It is…
SiamCorners: Siamese Corner Networks for Visual Tracking
Kai Yang, Zhenyu He, Wenjie Pei +4
The current Siamese network based on region proposal network (RPN) has attracted great attention in visual tracking due to its excellent accuracy and high efficiency. However, the…