SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

CVPR 2019 Bo LiWei WuQiang WangFangyi ZhangJunliang XingJunjie Yan

Siamese network based trackers formulate tracking as convolutional feature cross-correlation between target template and searching region. However, Siamese trackers still have accuracy gap compared with state-of-the-art algorithms and they cannot take advantage of feature from deep networks, such as ResNet-50 or deeper... (read more)

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Evaluation results from the paper

Task Dataset Model Metric name Metric value Global rank Compare
Visual Object Tracking VOT2017/18 SiamRPN++ Expected Average Overlap (EAO) 0.414 # 1