Zero-Shot Pest Identification Based on Generative Adversarial Networks and Visual-Semantic Alignment

ObjectiveAccurate identification of insect pests is crucial for the effective prevention and control of crop infestations. However, existing pest identification methods primarily rely on traditional machine learning or deep learning techniques that are trained on seen classes. These methods falter w...

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Bibliografski detalji

Glavni autori:	LI Tianjun, YANG Xinting, CHEN Xiao, HU Huan, ZHOU Zijie, LI Wenyong
Format:	Artigo
Jezik:	Inglês
Izdano:	Editorial Office of Smart Agriculture 2024-03-01
Serija:	智慧农业
Teme:	pest recognition semantic knowledge visual features generative adversarial networks contrastive learning generalized zero-shot learning
Online pristup:	http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202312014
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