32 citations · 96 across the 9 of their papers we have counts for
8 papers · 1 filter
Towards Universal Backward-Compatible Representation Learning
Binjie Zhang, Yixiao Ge, Yantao Shen +6
Conventional model upgrades for visual search systems require offline refresh of gallery features by feeding gallery images into new models (dubbed as "backfill"), which is time-co…
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval
Binjie Zhang, Yixiao Ge, Yantao Shen +5
The task of hot-refresh model upgrades of image retrieval systems plays an essential role in the industry but has never been investigated in academia before. Conventional cold-refr…
Towards Backward-Compatible Representation Learning
Yantao Shen, Yuanjun Xiong, Wei Xia +1
We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network ar…
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…
End-to-End Deep Kronecker-Product Matching for Person Re-identification
Yantao Shen, Tong Xiao, Hongsheng Li +2
Person re-identification aims to robustly measure similarities between person images. The significant variation of person poses and viewing angles challenges for accurate person re…
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…
Person Re-identification with Deep Similarity-Guided Graph Neural Network
Yantao Shen, Hongsheng Li, Shuai Yi +2
The person re-identification task requires to robustly estimate visual similarities between person images. However, existing person re-identification models mostly estimate the sim…
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals
Yantao Shen, Tong Xiao, Hongsheng Li +2
Vehicle re-identification is an important problem and has many applications in video surveillance and intelligent transportation. It gains increasing attention because of the recen…