8 citations · 14 across the 6 of their papers we have counts for
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cs.CV2021
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
Shengsen Wu, Liang Chen, Yihang Lou +4
In object re-identification (ReID), the development of deep learning techniques often involves model updates and deployment. It is unbearable to re-embedding and re-index with the…
cs.CV2021
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…
cs.CV2021
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…