Abstract:Visual tracking is an important area in computer vision. Based on the Siamese network, current tracking methods employ the self-attention block in convolutional networks to extract semantic features containing the image structure information of an object. However, spatial continuity is a point of contradiction between two seemingly unrelated challenges, that is, occlusion and similar distractor, in tracking methods. At the same time, it is a spatially discontinuous task to locate a target reappearing after occ… Show more
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