AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking

27 May 2020 Tianyang Xu Zhen-Hua Feng Xiao-Jun Wu Josef Kittler

Siamese approaches have achieved promising performance in visual object tracking recently. The key to the success of Siamese trackers is to learn appearance-invariant feature embedding functions via pair-wise offline training on large-scale video datasets... (read more)

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Methods used in the Paper


METHOD TYPE
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
LSTM
Recurrent Neural Networks