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
