5 citations · 15 across the 11 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CV2021★ 1 cited
Self-Distilled Self-Supervised Representation Learning
Jiho Jang, Seonhoon Kim, Kiyoon Yoo +3
State-of-the-art frameworks in self-supervised learning have recently shown that fully utilizing transformer-based models can lead to performance boost compared to conventional CNN…
cs.CV2021★ 3 cited
Few-shot Image Generation with Mixup-based Distance Learning
Chaerin Kong, Jeesoo Kim, Donghoon Han +1
Producing diverse and realistic images with generative models such as GANs typically requires large scale training with vast amount of images. GANs trained with limited data can ea…