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20172020
most citedImproved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID

6 citations · 9 across the 3 of their papers we have counts for

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cs.CV20206 cited

Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID

Yixiao Ge, Shijie Yu, Dapeng Chen

In this technical report, we present our submission to the VisDA Challenge in ECCV 2020 and we achieved one of the top-performing results on the leaderboard. Our solution is based…

cs.CV20203 cited

COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification

Shijie Yu, Shihua Li, Dapeng Chen +3

Recent years have witnessed great progress in person re-identification (re-id). Several academic benchmarks such as Market1501, CUHK03 and DukeMTMC play important roles to promote…

cs.CV2019

Memory-Based Neighbourhood Embedding for Visual Recognition

Suichan Li, Dapeng Chen, Bin Liu +2

Learning discriminative image feature embeddings is of great importance to visual recognition. To achieve better feature embeddings, most current methods focus on designing differe…

cs.CV2018

Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association

Dapeng Chen, Hongsheng Li, Xihui Liu +3

Person re-identification is an important task that requires learning discriminative visual features for distinguishing different person identities. Diverse auxiliary information ha…

cs.CV2018

Deep Group-shuffling Random Walk for Person Re-identification

Yantao Shen, Hongsheng Li, Tong Xiao +3

Person re-identification aims at finding a person of interest in an image gallery by comparing the probe image of this person with all the gallery images. It is generally treated a…

cs.CV2017

Learning Fixation Point Strategy for Object Detection and Classification

Jie Lyu, Zejian Yuan, Dapeng Chen

We propose a novel recurrent attentional structure to localize and recognize objects jointly. The network can learn to extract a sequence of local observations with detailed appear…