Research on Lightweight Small Object Detection Method with Fusion Attention Mechanism-Reference-Cited by-同舟云学术

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Research on Lightweight Small Object Detection Method with Fusion Attention Mechanism

Published:2023-11-17 Issue: Volume:57 Page:550-555
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Dai Haowen¹,Liu Bingyou²,Wan Guoyang²,Qi Jingjing³,Wan Luanfei⁴

Affiliation:

1. School of Electrical Engineering, Anhui Polytechnic University,Wuhu,China

2. Anhui Polytechnic University,The Key Lab. of Advanced Perception and Intelligent Control of High-End Equipment, Ministry of Education,Wuhu,China

3. Anhui Dar Intelligent Control System Co., Ltd.,Wuhu,China

4. Wuhu Institute of Technology,Wuhu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451036.pdf?arnumber=10451036

Reference12 articles.

1. You Only Look Once: Unified, Real-Time Object Detection

2. Yolov3: An incremental improvement;Redmon;arXiv preprint,2018

3. Yolov4: Optimal speed and accuracy of object detection;Bochkovskiy;arXiv preprint,2020

4. Design tradeoffs for SSD performance;Agrawal

5. Receptive Field Block Net for Accurate and Fast Object Detection

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