DS-YOLO: A dense small object detection algorithm based on inverted bottleneck and multi-scale fusion network

DS-YOLO: A dense small object detection algorithm based on inverted bottleneck and multi-scale fusion network

In the field of security, intelligent surveillance tasks often involve a large number of dense and small objects, with severe occlusion between them, making detection particularly challenging. To address this significant challenge, Dense and Small YOLO (DS-YOLO), a dense small object detection algor...

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Bibliographic Details
Main Authors: Hongyu Zhang, Guoliang Li, Dapeng Wan, Ziyue Wang, Jinshun Dong, Shoujun Lin, Lixia Deng, Haiying Liu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Biomimetic Intelligence and Robotics
Subjects:
Dense objects detection
LFS-PAFPN
DOConv
C2fUIB
YOLOv8
Online Access:http://www.sciencedirect.com/science/article/pii/S2667379724000482
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