12 citations · 41 across the 4 of their papers we have counts for
4 papers
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Fei Shen, Xiaoyu Du, Liyan Zhang +2
Part feature learning is critical for fine-grained semantic understanding in vehicle re-identification. However, existing approaches directly model part features and global feature…
HSGNet: Object Re-identification with Hierarchical Similarity Graph Network
Fei Shen, Mengwan Wei, Junchi Ren
Object re-identification method is made up of backbone network, feature aggregation, and loss function. However, most backbone networks lack a special mechanism to handle rich scal…
A Competitive Method for Dog Nose-print Re-identification
Fei Shen, Zhe Wang, Zijun Wang +4
Vision-based pattern identification (such as face, fingerprint, iris etc.) has been successfully applied in human biometrics for a long history. However, dog nose-print authenticat…
A Competitive Method to VIPriors Object Detection Challenge
Fei Shen, Xin He, Mengwan Wei +1
In this report, we introduce the technical details of our submission to the VIPriors object detection challenge. Our solution is based on mmdetction of a strong baseline open-sourc…