State of the art object detection: A comparative study of YOLO and ViT-Reference-Cited by-同舟云学术

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State of the art object detection: A comparative study of YOLO and ViT

Published:2024-05-03 Issue: Volume:27 Page:01-06
ISSN:
Container-title:2024 International Conference on Intelligent Systems for Cybersecurity (ISCS)
language:
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Author:

Rajput Lucky¹,Tyagi Neha¹,Tyagi Shobha²,Tyagi Dheerendra Kumar³

Affiliation:

1. Amity University,Department of Computer Science and Engineering,Noida,India

2. Manav Rachna International Institute of Research and Studies,Department of Computer Science and Engineering,Faridabad,India

3. GL Bajaj Institute of Technology and Management,Department of Information Technology,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579950/10580998/10581202.pdf?arnumber=10581202

Reference20 articles.

1. Object Detection in 20 Years: A Survey

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

3. Faster r-cnn: Towards real-time object detection with region proposal networks;Ren;Advances in neural information processing systems,2015

4. Transformers in Vision: A Survey

5. Toward transformer-based object detection;Beal;arXiv preprint,2020

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