Few-shot cow identification via meta-learning

Few-shot cow identification via meta-learning

Cow identification is a prerequisite for precision livestock farming. Biometric-based methods have made significant progress in cow identification. However, substantial labelling costs and frequent identification task changes are still hamper model application. In this work, a novel method called “M...

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Bibliographic Details
Main Authors: Xingshi Xu, Yunfei Wang, Yuying Shang, Guangyuan Yang, Zhixin Hua, Zheng Wang, Huaibo Song
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Information Processing in Agriculture
Subjects:
Precision livestock
Cattle identification
Few-shot
Task-driven
Autoencoder
Online Access:http://www.sciencedirect.com/science/article/pii/S2214317324000210
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