A Comparison between YOLOV7 and YOLOV5-based detection of Combat Targets and Camouflaged Militia-Reference-Cited by-同舟云学术

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A Comparison between YOLOV7 and YOLOV5-based detection of Combat Targets and Camouflaged Militia

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)
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Author:

Hasan Md Sabid¹,Fahim Faiyaz²,Farabi Abdulla Al¹,Rahman Fariha³

Affiliation:

1. Bangladesh Army University of Engineering and Technology,Department of Electrical and Electronic Engineering,Natore,Bangladesh

2. Institute of Nuclear Power Engineering, Bangladesh University of Engineering and Technology,Dhaka,Bangladesh

3. Shahid Bulbul Govt. College,Faculty of Science,Pabna,Bangladesh

Funder

Arm

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10103226/10103227/10103281.pdf?arnumber=10103281

Reference16 articles.

1. Neural system for military target detection

2. Research on the Application of Deep Learning Target Detection of Engineering Vehicles in the Patrol and Inspection for Military Optical Cable Lines by UAV

3. A Camouflaged Object Detection Model Based on Deep Learning

4. Camouflaged Object Detection

5. Vision-Based 3D Aerial Target Detection and Tracking for Maneuver Decision in Close-Range Air Combat

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1. Riot Perception and Safety Navigation of Autonomous Vehicles Using Deep Learning;Lecture Notes in Networks and Systems;2024

2. Autonomous Equipment Handling Vehicle for Warehouse;2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA);2023-06-16

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