HAT: Hierarchical Aggregation Transformers for Person Re-identification

Last update: Sep 05, 2022

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Deep Learning HAT

Overview

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This Repo. is used for our ACM MM2021 paper:

HAT: Hierarchical Aggregation Transformers for Person Re-identification

(https://arxiv.org/pdf/2107.05946.pdf)

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For using the codes, please download the public Market-1501 and Duke datasets. Besides, please install the Pytorch as the Official Suggestions.

Then, run the train.py and test.py with your GPUs. You can get the same results in the above paper.

The codes can be download at

Link：https://pan.baidu.com/s/10wt1ai0-zza7RohkIs60IQ

Extracting code：4ox2

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If you have any problems. Please concat

[email protected] or [email protected]

Owner

I am currently an Associate Professor with the School of Artificial Intelligence, Dalian University of Technology.

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HAT: Hierarchical Aggregation Transformers for Person Re-identification

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Overview

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