18 citations · 18 across the 1 of their papers we have counts for
2 papers
cs.CV2018
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN
Masaki Saito, Shunta Saito, Masanori Koyama +1
Training of Generative Adversarial Network (GAN) on a video dataset is a challenge because of the sheer size of the dataset and the complexity of each observation. In general, the…
cs.CV2017★ 18 cited
ChainerCV: a Library for Deep Learning in Computer Vision
Yusuke Niitani, Toru Ogawa, Shunta Saito +1
Despite significant progress of deep learning in the field of computer vision, there has not been a software library that covers these methods in a unifying manner. We introduce Ch…