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.