Unsupervised Joint Contrastive Learning for Aerial Person Re-Identification and Remote Sensing Image Classification

Unsupervised Joint Contrastive Learning for Aerial Person Re-Identification and Remote Sensing Image Classification

Unsupervised person re-identification (Re-ID) aims to match the query image of a person with images in the gallery without the use of supervision labels. Most existing methods usually generate pseudo-labels through clustering algorithms for contrastive learning, which inevitably results in noisy lab...

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Bibliographic Details
Main Authors: Guoqing Zhang, Jiqiang Li, Zhonglin Ye
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
person re-identification
contrastive learning
unsupervised learning
remote sensing
Online Access:https://www.mdpi.com/2072-4292/16/2/422

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https://www.mdpi.com/2072-4292/16/2/422

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