Near-Real-Time Detection of Craters: A YOLO v5 Based Approach-Reference-Cited by-同舟云学术

Near-Real-Time Detection of Craters: A YOLO v5 Based Approach

Published:2023-01-27 Issue: Volume: Page:
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Container-title:2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)
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Author:

Chatterjee Sourish¹,Chakraborty Shayak²,Nath Anirban³,Chowdhury Pinaki Roy⁴,Deshmukh Benidhar⁴

Affiliation:

1. Indira Gandhi National Open University,Discipline of Geology, School of Sciences,New Delhi,India

2. National Institute of Technology,Department of Computer Science and Engineering,Silchar,Assam,India

3. Indian Institute of Technology, Indore,Department of Computer Science and Engineering,Madhya Pradesh,India

4. Defence Geoinformatics Research Establishment,Chandigarh,India

Publisher

IEEE

Link

Reference12 articles.

1. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors;wang;arXiv preprint arXiv 2207 02696,2022

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

4. Yolov4: Optimal speed and accuracy of object detection;bochkovskiy;arXiv preprint arXiv 2004 10934,2020

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