Adversarial_Video_Summary

PyTorch Implementation of SUM-GAN

• from "Unsupervised Video Summarization with Adversarial LSTM Networks (CVPR 2017)"
• by Behrooz Mahasseni, Michael Lam and Sinisa Todorovic
• Code Author: Jaemin Cho
• Used as baseline for unsupervised video summarization

Changes from Original paper

• Video feature extractor
  • GoogleNet pool5 (1024) => ResNet-101 pool5 (2048)
  • Followed by linear projection to 500-dim
• Stable GAN Training
  • Discriminator's learning rate: 1e-5 (Others: 1e-4)
  • Fix Discriminators' parameters for first 15 steps at every epoch.

Model figures

Algorithm