Lightweight GAN-Assisted Class Imbalance Mitigation for Apple Flower Bud Detection

Lightweight GAN-Assisted Class Imbalance Mitigation for Apple Flower Bud Detection

Multi-class object detectors often suffer from the class imbalance issue, where substantial model performance discrepancies exist between classes. Generative adversarial networks (GANs), an emerging deep learning research topic, are able to learn from existing data distributions and generate similar...

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Bibliographic Details
Main Authors: Wenan Yuan, Peng Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Big Data and Cognitive Computing
Subjects:
AriAplBud
CNN
convolutional neural network
FastGAN
generative adversarial network
object detection
Online Access:https://www.mdpi.com/2504-2289/9/2/28
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