3 papers
cs.CV2019
Regularizing CNN Transfer Learning with Randomised Regression
Yang Zhong, Atsuto Maki
This paper is about regularizing deep convolutional networks (CNNs) based on an adaptive framework for transfer learning with limited training data in the target domain. Recent adv…
cs.CV2018
Target Aware Network Adaptation for Efficient Representation Learning
Yang Zhong, Vladimir Li, Ryuzo Okada +1
This paper presents an automatic network adaptation method that finds a ConvNet structure well-suited to a given target task, e.g., image classification, for efficiency as well as…
cs.CV2015
Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach
Yang Zhong, Haibo Li
Different from face verification, face identification is much more demanding. To reach comparable performance, an identifier needs to be roughly N times better than a verifier. To…