1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao, Mandi Luo, Junchi Yu +2
Generative Adversarial Networks (GANs) typically suffer from overfitting when limited training data is available. To facilitate GAN training, current methods propose to use data-sp…
cs.CV2020
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Shan You, Tao Huang, Mingmin Yang +3
Training a supernet matters for one-shot neural architecture search (NAS) methods since it serves as a basic performance estimator for different architectures (paths). Current meth…
cs.CV2018
LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild
Shuang Yang, Yuanhang Zhang, Dalu Feng +6
Large-scale datasets have successively proven their fundamental importance in several research fields, especially for early progress in some emerging topics. In this paper, we focu…