ESF-YOLO: an accurate and universal object detector based on neural networks

ESF-YOLO: an accurate and universal object detector based on neural networks

As an excellent single-stage object detector based on neural networks, YOLOv5 has found extensive applications in the industrial domain; however, it still exhibits certain design limitations. To address these issues, this paper proposes Efficient Scale Fusion YOLO (ESF-YOLO). Firstly, the Multi-Samp...

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Bibliographic Details
Main Authors: Wenguang Tao, Xiaotian Wang, Tian Yan, Zhengzhuo Liu, Shizheng Wan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Neuroscience
Subjects:
neural network
object detection
cross-scale feature fusion
attention mechanism
lightweight decoupled head
dynamic loss function
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1371418/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2024.1371418/full

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