Omg: Orthogonal Method of Grouping with Application of K-shot Learning

  • Haoqi Fan Yu Zhang Kris M. Kitani
  • Published 2016

Abstract

Training a classifier with only a few examples remains a significant barrier when using neural networks with a large number of parameters. Though various specialized network architectures have been proposed for these k-shot learning tasks to avoid overfitting, a question remains: is there a generalizable framework for the k-shot learning problem that can… (More)

11 Figures and Tables

Topics

  • Presentations referencing similar topics