Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks
Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks
Recently, deep learning has achieved very promising results in visual object tracking. Deep neural networks in existing tracking methods require a lot of training data to learn a large number of parameters. However, training data is not sufficient for visual object tracking as annotations of a target object are only …