Robust visual tracking via scale-and-state-awareness
Neurocomputing, pp. 75-85, 2019.
Convolutional neural networks (CNNs) have been applied to visual tracking with demonstrated success in recent years. However, the performance of CNN-based trackers can be further improved, because the predicted upright bounding box cannot tightly enclose the target due to factors such as deformations and rotations. Besides, many existing ...More
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