Review: FCGN — Fully Convolutional Google Net (Human Pose Estimation)

Source: Deep Learning on Medium

Review: FCGN — Fully Convolutional Google Net (Human Pose Estimation)

In this story, FCGN (Fully Convolutional Google Net), by RWTH Aachen University, and Univeristy of Bonn, is briefly reviewed.

  • By modifying the batch normalization GoogLeNet, i.e. BN-Inception / Inception-v2, into fully convolutional network (FCN), the network can be trained using mid-range GPU with low memory footprint.
  • Another advantage is that the network can be trained from scratch using the same dataset without any pre-training, and obtain a good performance.

This is a 2016 BMVC paper with more than 50 citations. (Sik-Ho Tsang @ Medium)