Optimizing Backbone Networks Through Hybrid–Modal Fusion: A New Strategy for Waste Classification

Optimizing Backbone Networks Through Hybrid–Modal Fusion: A New Strategy for Waste Classification

With rapid urbanization, effective waste classification is a critical challenge. Traditional manual methods are time-consuming, labor-intensive, costly, and error-prone, resulting in reduced accuracy. Deep learning has revolutionized this field. Convolutional neural networks such as VGG and ResNet h...

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Bibliographic Details
Main Authors: Houkui Zhou, Qifeng Ding, Chang Chen, Qinqin Liao, Qun Wang, Huimin Yu, Haoji Hu, Guangqun Zhang, Junguo Hu, Tao He
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
image recognition
waste classification
transformer
model fusion
optimization strategy
Online Access:https://www.mdpi.com/1424-8220/25/10/3241
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