Search Results for author: Fei Shen

Found 6 papers, 3 papers with code

Triplet Contrastive Learning for Unsupervised Vehicle Re-identification

1 code implementation23 Jan 2023 Fei Shen, Xiaoyu Du, Liyan Zhang, Jinhui Tang

For the inter-class instance, a hybrid contrastive loss (HCL) re-defines the sample correlations by approaching the positive cluster features and leaving the all negative instance features.

Contrastive Learning Vehicle Re-Identification

HSGNet: Object Re-identification with Hierarchical Similarity Graph Network

no code implementations10 Nov 2022 Fei Shen, Mengwan Wei, Junchi Ren

Secondly, we divide the feature map along with the spatial and channel directions in each hierarchical graph.

GiT: Graph Interactive Transformer for Vehicle Re-identification

no code implementations12 Jul 2021 Fei Shen, Yi Xie, Jianqing Zhu, Xiaobin Zhu, Huanqiang Zeng

In the macro view, a list of GiT blocks are stacked to build a vehicle re-identification model, in where graphs are to extract discriminative local features within patches and transformers are to extract robust global features among patches.

Vehicle Re-Identification

A Competitive Method to VIPriors Object Detection Challenge

1 code implementation19 Apr 2021 Fei Shen, Xin He, Mengwan Wei, Yi Xie

In this report, we introduce the technical details of our submission to the VIPriors object detection challenge.

Data Augmentation object-detection +1

Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification

no code implementations29 May 2020 Fei Shen, Jianqing Zhu, Xiaobin Zhu, Yi Xie, Jingchang Huang

Secondly, a novel pyramidal graph network (PGN) is designed to comprehensively explore the spatial significance of feature maps at multiple scales.

Vehicle Re-Identification

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