Vehicle Reidentification Based on Convolution and Vision Transformer Feature Fusion-Reference-Cited by-同舟云学术

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Vehicle Reidentification Based on Convolution and Vision Transformer Feature Fusion

Published:2024-04 Issue:2 Volume:31 Page:61-68
ISSN:1070-986X
Container-title:IEEE MultiMedia
language:
Short-container-title:IEEE MultiMedia

Author:

Gong Rui¹^ORCID,Zhang Xue¹^ORCID,Pan Jianan¹^ORCID,Guo Jie¹^ORCID,Nie Xiushan¹^ORCID

Affiliation:

1. Shandong Jianzhu University, Jinan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Taishan Scholar Project of Shandong Province

Shandong Provincial Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/93/10595543/10529545.pdf?arnumber=10529545

Reference29 articles.

1. Stripe-based and attribute-aware network: a two-branch deep model for vehicle re-identification

2. Vehicle Re-Identification With Viewpoint-Aware Metric Learning

3. An image is worth 16 × 16 words: Transformers for image recognition at scale;Dosovitskiy,2020

4. TransReID: Transformer-based Object Re-Identification

5. A review of object representation based on local features

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