Analysis of Car Damage for Personal Auto Claim Using CNN-Reference-Cited by-同舟云学术

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Analysis of Car Damage for Personal Auto Claim Using CNN

Published:2021-10-26 Issue: Volume: Page:319-329
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Kalshetty Jagadevi N.^ORCID,Hrithik Devaiah B. A.^ORCID,Rakshith K.^ORCID,Koshy Ken^ORCID,Advait N.^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5157-1_25

Reference14 articles.

1. Singh, R., Ayyar, M. P., Sri Pavan, T. V., Gosain, S., & Shah, R. R. (2019). Automating car insurance claims using deep learning techniques. In 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), Singapore, Singapore.

2. Zhang, Q., Chang, X., & Bian, S. B. (2020). Vehicle-damage-detection segmentation algorithm based on improved mask RCNN. IEEE Access, 8, 6997–7004.

3. Patil, K., Kulkarni, M., Sriraman, A., & Karande, S. (2017) Deep learning based car damage classification. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun.

4. Dhieb, N., Ghazzai, H., Besbes, H., & Massoud, Y. (2019). A very deep transfer learning model for vehicle damage detection and localization. In 2019 31st International Conference on Microelectronics (ICM), Cairo, Egypt.

5. Qassim, H., Verma, A., & Feinzimer, D. (2018). Compressed residual-VGG16 CNN model for big data places image recognition. In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas.

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. Case Studies in Big Data Analysis;Advances in Business Information Systems and Analytics;2024-01-04

2. Deep Learning Based Automobile Identification Application;Communications in Computer and Information Science;2023

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