Military Vehicle Object Detection Based on Feature Representation and Refined Localization Using Inception Recurrent Convolutional Neural Network-Reference-Cited by-同舟云学术

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Military Vehicle Object Detection Based on Feature Representation and Refined Localization Using Inception Recurrent Convolutional Neural Network

Published:2024-03-15 Issue: Volume:2 Page:1-5
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
language:
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Author:

Almusawi Muntather¹,Yadav S G Shivaprasad²,Rahim Abdul³,Aluvala Srinivas⁴,A C Ramachandra⁵

Affiliation:

1. The Islamic university,Najaf,Iraq

2. Electronics and Telecommunication Engineering, Ramaiah Institute of Technology,Bangalore,India

3. Mallareddy Engineering College for Women (Autonomous),Electronics and Communication Engineering Department,Hyderabad,Telangana,India

4. School of Computer Science and Artificial Intelligence, SR University,Warangal,India

5. Nitte Meenakshi Institute of Technology,Department of ECE,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515888.pdf?arnumber=10515888

Reference17 articles.

1. A Lightweight Military Target Detection Algorithm Based on Improved YOLOv5

2. T-YOLO: Tiny vehicle detection based on YOLO and multi-scale convolutional neural networks

3. Identification of Triple Negative Breast Cancer Genes Using Rough Set Based Feature Selection Algorithm & Ensemble Classifier;Patil;HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES,Nov 30

4. Vehicle object detection method based on candidate region aggregation

5. Vehicle object counting network based on feature pyramid split attention mechanism

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