Evaluating the Performance of Object Detection Algorithm in Low Light-Reference-Cited by-同舟云学术

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Evaluating the Performance of Object Detection Algorithm in Low Light

Published:2024-04-17 Issue: Volume: Page:529-533
ISSN:
Container-title:2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS)
language:
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Author:

Solanki Arjun¹,Vaidya Himadri¹,Rithak ¹,Rawat Ruchira²,Sandhya ¹,Gupta Rupesh³

Affiliation:

1. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,India

2. Graphic Deemed to be University,Department of Computer Science and Engineering,Dehradun,India

3. Chitkara University Institute of Engineering and Tech, Chitkara University,Department of Computer Science and Engineering,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10533880/10533882/10533969.pdf?arnumber=10533969

Reference12 articles.

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

2. Analysis of Object Detection Performance Based on Faster R-CNN

3. Deep Learning for Object Detection: A Survey

4. Oriented R-CNN for Object Detection

5. Learning to Restore Low-Light Images via Decomposition-and-Enhancement

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