June 18, 2018
Low-Shot Learning from Imaginary Data
Computer Vision and Pattern Recognition (CVPR)
Humans can quickly learn new visual concepts, perhaps because they can easily visualize or imagine what novel objects look like from different views. Incorporating this ability to hallucinate novel instances of new concepts might help machine vision systems perform better low-shot learning, i.e., learning concepts from few examples. We present a novel approach to low-shot learning that uses this idea.
By: Yu-Xiong Wang, Ross Girshick, Martial Hebert, Bharath Hariharan