AVPL: Augmented visual perception learning for person Re-identification and beyond-Reference-Cited by-同舟云学术

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AVPL: Augmented visual perception learning for person Re-identification and beyond

Published:2022-09 Issue: Volume:129 Page:108736
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Huang Yewen,Lian Sicheng,Hu Haifeng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Studies of human visual pathophysiology with visual evoked potentials;Tobimatsu;Clin. Neurophysiol.,2006

2. Scalable person re-identification: A benchmark;Zheng,2015

3. Performance measures and a data set for multi-target, multi-camera tracking;Ristani,2016

4. Unlabeled samples generated by gan improve the person re-identification baseline in vitro;Zheng,2017

5. Deepreid: Deep filter pairing neural network for person re-identification;Li,2014

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1. Pairwise difference relational distillation for object re-identification;Pattern Recognition;2024-08

2. Research on person re-identification based on multi-level attention model;Multimedia Tools and Applications;2024-03-16

3. DaliID: Distortion-Adaptive Learned Invariance for Identification—A Robust Technique for Face Recognition and Person Re-Identification;IEEE Access;2024

4. DOERS: Distant Observation Enhancement and Recognition System;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

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