43 citations · 50 across the 4 of their papers we have counts for
6 papers
On Mitigating Hard Clusters for Face Clustering
Yingjie Chen, Huasong Zhong, Chong Chen +5
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images. It remains challenging to identify small or sparse face image clust…
Deep Unsupervised Hashing by Distilled Smooth Guidance
Xiao Luo, Zeyu Ma, Daqing Wu +4
Hashing has been widely used in approximate nearest neighbor search for its storage and computational efficiency. Deep supervised hashing methods are not widely used because of the…
Graph Contrastive Clustering
Huasong Zhong, Jianlong Wu, Chong Chen +5
Recently, some contrastive learning methods have been proposed to simultaneously learn representations and clustering assignments, achieving significant improvements. However, thes…
CIMON: Towards High-quality Hash Codes
Xiao Luo, Daqing Wu, Zeyu Ma +6
Recently, hashing is widely used in approximate nearest neighbor search for its storage and computational efficiency. Most of the unsupervised hashing methods learn to map images i…
Deep Robust Clustering by Contrastive Learning
Huasong Zhong, Chong Chen, Zhongming Jin +1
Recently, many unsupervised deep learning methods have been proposed to learn clustering with unlabelled data. By introducing data augmentation, most of the latest methods look int…
Shift-based Primitives for Efficient Convolutional Neural Networks
Huasong Zhong, Xianggen Liu, Yihui He +1
We propose a collection of three shift-based primitives for building efficient compact CNN-based networks. These three primitives (channel shift, address shift, shortcut shift) can…