Visual Tracking via Dynamic Memory Networks

12 Jul 2019 Tianyu Yang Antoni B. Chan

Template-matching methods for visual tracking have gained popularity recently due to their good performance and fast speed. However, they lack effective ways to adapt to changes in the target object's appearance, making their tracking accuracy still far from state-of-the-art... (read more)

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Methods used in the Paper


METHOD TYPE
Sigmoid Activation
Activation Functions
Tanh Activation
Activation Functions
Softmax
Output Functions
GRU
Recurrent Neural Networks
Dynamic Memory Network
Working Memory Models
Memory Network
Working Memory Models
LSTM
Recurrent Neural Networks