A-To-Be interview questions

We present Mobile-Former, a parallel design of MobileNet and transformer with a two-way bridge in between. This structure leverages the advantages of MobileNet at local processing and transformer at global interaction. And the bridge enables bidirectional fusion of local and global features. Different from recent works on vision transformer, the transformer in Mobile-Former contains very few tokens (e.g. 6 or fewer tokens) that are randomly initialized to learn global priors, resulting in low computational cost. Combining with the proposed light-weight cross attention to model the bridge, Mobile-Former is not only computationally efficient, but also has more representation power.

Se evaluaron mis habilidades junto con mi portafolio y mis conocimientos sobre los perfiles de clientes que con los que ellos normalmente trabajan para evaluar mis conocimientos. Se me consultó también mis estudios y cursos para ver como podria aportar al equipo.