RGB-D Heterogeneous Image Feature Fusion for YOLOfuse Apple Detection Model

RGB-D Heterogeneous Image Feature Fusion for YOLOfuse Apple Detection Model

Heterogeneous image features are complementary, and feature fusion of heterogeneous images can increase position effectiveness of occluded apple targets. A YOLOfuse apple detection model based on RGB-D heterogeneous image feature fusion is proposed. Combining the CSPDarknet53-Tiny network on the bas...

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Bibliographic Details
Main Authors: Liqun Liu, Pengfei Hao
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Agronomy
Subjects:
object detection
heterogeneous images
YOLOv5s
fruit detection
attention mechanism
Online Access:https://www.mdpi.com/2073-4395/13/12/3080

Internet

https://www.mdpi.com/2073-4395/13/12/3080

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