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Learning Spatio-Temporal Convolutional Network For Real-Time Object Tracking
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Learning Spatio-Temporal Convolutional Network For Real-Time Object Tracking
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Siamese series of tracking networks have shown great potentials in achieving balanced accuracy and beyond real-time speed. However, most of existing siamese trackers only consider appearance features of first frame, and hardly benefit from interframe info
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