Keynotes: Deep learning for visual understanding: Effectiveness vs. efficiency

Shuicheng YAN

Abstract: In this talk, I shall introduce a series of research related with deep learning for visual understanding, and focus on three aspects: 1) how to make the model size to be small while keep high accuracy, 2) how to design proper objective functions to enhance algorithmic learnability, and 3) how to design proper network structure to accelerate the inference speed.