3k citations · 4.4k across the 29 of their papers we have counts for
3 papers · 1 filter
Learning Spread-out Local Feature Descriptors
Xu Zhang, Felix X. Yu, Sanjiv Kumar +1
We propose a simple, yet powerful regularization technique that can be used to significantly improve both the pairwise and triplet losses in learning local feature descriptors. The…
Deep Transfer Network: Unsupervised Domain Adaptation
Xu Zhang, Felix Xinnan Yu, Shih-Fu Chang +1
Domain adaptation aims at training a classifier in one dataset and applying it to a related but not identical dataset. One successfully used framework of domain adaptation is to le…
An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng, Felix X. Yu, Rogerio S. Feris +3
We explore the redundancy of parameters in deep neural networks by replacing the conventional linear projection in fully-connected layers with the circulant projection. The circula…