Abstract: Recently deep neural networks have been widely employed to deal with the visual tracking problem. In this work, we present a new deep architecture which incorporates the temporal and spatial ...

Abstract: Visual object tracking in unconstrained environments is a challenging task in computer vision. How to design an efficient discriminative feature representation is one challenging issue. To ...

Develop step-by-step interactive tutorials for learning transformer architecture, attention mechanisms, and neural network concepts. Tutorials should feature: Progress tracking for users Clear ...