1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
DAMix: A Density-Aware Mixup Augmentation for Single Image Dehazing under Domain Shift
Chia-Ming Chang, Tsung-Nan Lin
Deep learning-based methods have achieved considerable success on single image dehazing in recent years. However, these methods are often subject to performance degradation when do…
cs.CV2020
NTIRE 2020 Challenge on NonHomogeneous Dehazing
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu +49
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results e…
cs.LG2019★ 1 cited
Vanishing Nodes: Another Phenomenon That Makes Training Deep Neural Networks Difficult
Wen-Yu Chang, Tsung-Nan Lin
It is well known that the problem of vanishing/exploding gradients is a challenge when training deep networks. In this paper, we describe another phenomenon, called vanishing nodes…