MetaGON: A Lightweight Pedestrian Re-Identification Domain Generalization Model Adapted to Edge Devices

MetaGON: A Lightweight Pedestrian Re-Identification Domain Generalization Model Adapted to Edge Devices

Pedestrian re-identification (Re-ID) leverages cross-camera data acquired by the Internet of Things (IoT) devices and sensors to identify, monitor, and analyze pedestrians, allowing IoT applications to provide more intelligent, secure, and tailored services. Current pedestrian Re-ID research faces m...

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Bibliographic Details
Main Authors: Xiting Peng, Huaxuan Zhao, Xiaoyu Zhang, Chaofeng Zhang, Caijuan Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
meta-learning
pedestrian re-identification
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/10380789/

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