Improved YOLOv5 Network with CBAM for Object Detection Vision Drone
Author:
Affiliation:
1. Electronic and Computer Engineering University of Ulsan,Department of Electrical,Ulsan,Korea
2. Sam Ratulangi university,Department of Electrical Engineering,Manado,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10143075/10143030/10143118.pdf?arnumber=10143118
Reference32 articles.
1. CBAM: Convolutional Block Attention Module
2. Efficient Residual Bottleneck for Object Detection on CPU
3. Investigation Into Recognition Algorithm of Helmet Violation Based on YOLOv5-CBAM-DCN
4. Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images
5. Detnet: A backbone network for object detection;li;CoRR,2018
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1. HIC-YOLOv5: Improved YOLOv5 For Small Object Detection;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Automatic recognition of surface defects of hot rolled strip steel based on deep parallel attention convolution neural network;Materials Letters;2023-12
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