222 citations · 555 across the 35 of their papers we have counts for
Showing 2020 · cs.CVShow all
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cs.CV2020★ 32 cited
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Yong Guo, Jian Chen, Jingdong Wang +5
Deep neural networks have exhibited promising performance in image super-resolution (SR) by learning a nonlinear mapping function from low-resolution (LR) images to high-resolution…
cs.CV2020★ 14 cited
Generative Low-bitwidth Data Free Quantization
Shoukai Xu, Haokun Li, Bohan Zhuang +4
Neural network quantization is an effective way to compress deep models and improve their execution latency and energy efficiency, so that they can be deployed on mobile or embedde…
cs.CV2020
Joint Wasserstein Distribution Matching
JieZhang Cao, Langyuan Mo, Qing Du +4
Joint distribution matching (JDM) problem, which aims to learn bidirectional mappings to match joint distributions of two domains, occurs in many machine learning and computer visi…