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Video object tracking has been a challenging task in computer vision based applications. Most of state-of-the-art tracking methods rely on convolutional neural network to extract features, and then employ observation model to locate target. Recent studies indicate that convolutional feature maps are noisy and much of the activations are not related to tracking task. Moreover, it will increase computation...
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