Human Detection in Restricted Areas Using Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Human Detection in Restricted Areas Using Deep Convolutional Neural Networks

Published:2022-11-15 Issue: Volume: Page:
ISSN:
Container-title:2022 30th Telecommunications Forum (TELFOR)
language:
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Author:

Serghei Trandafir-Liviu¹,Ichim Loretta¹,Popescu Dan¹

Affiliation:

1. University POLITEHNICA of Bucharest,Faculty of Automatic Control and Computer Science,Bucharest,Romania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9983661/9983662/09983720.pdf?arnumber=9983720

Reference13 articles.

1. You Only Learn One Representation: Unified Network for Multiple Tasks;wang,2021

2. YOLOX: Exceeding YOLO Series in 2021;ge,2021

3. Scaled-YOLOv4: Scaling Cross Stage Partial Network;wang,2020

4. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors;wang,2022

5. Aerial video trackers review;jia;Entropy,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human Detection in crowd using One-stage and Two-stage object detection models;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

2. Deep Convolutional Neural Networks for Real-Time Human Detection and Tracking on UAVs Embedded Systems;2023 31st Mediterranean Conference on Control and Automation (MED);2023-06-26

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