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

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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Bibliographic Details
Main Authors: LI Tianjun, YANG Xinting, CHEN Xiao, HU Huan, ZHOU Zijie, LI Wenyong
Format: Article
Language:English
Published: Editorial Office of Smart Agriculture 2024-03-01
Series:智慧农业
Subjects:
pest recognition
semantic knowledge
visual features
generative adversarial networks
contrastive learning
generalized zero-shot learning
Online Access:http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202312014

Internet

http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202312014

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