Exploiting prunability for person re-identification

Exploiting prunability for person re-identification

Abstract Recent years have witnessed a substantial increase in the deep learning (DL) architectures proposed for visual recognition tasks like person re-identification, where individuals must be recognized over multiple distributed cameras. Although these architectures have greatly improved the stat...

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Bibliographic Details
Main Authors: Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Deep learning
Convolutional neural networks
Complexity
Pruning
Domain adaptation
Person re-identification
Online Access:https://doi.org/10.1186/s13640-021-00562-6

Internet

https://doi.org/10.1186/s13640-021-00562-6

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