Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

• Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 4854 - 4863
• Main Authors: Wang, Qiang, Teng, Zhu, Xing, Junliang, Gao, Jin, Hu, Weiming, Maybank, Stephen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2018
• Subjects: Adaptation models; Correlation; Feature extraction; Object tracking; Target tracking; Training; Visualization

Offline training for object tracking has recently shown great potentials in balancing tracking accuracy and speed. However, it is still difficult to adapt an offline trained model to a target tracked online. This work presents a Residual Attentional Siamese Network (RASNet) for high performance obje...