Automatic damaged vehicle estimator using enhanced deep learning algorithm

Author:

Qaddour JihadORCID,Siddiqa Syeda Ayesha

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference61 articles.

1. Abdulla, W. “Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow,” 2017.

2. Vehicle Auto-Classification Using Machine Learning Algorithms Based on Seismic Fingerprinting;Ahmad;Computers,2022

3. An approach for recognizing vehicle based on appearance;Al Mamun,2019

4. A deep learning approach for road damage detection from smartphone images;Alfarrarjeh,2018

5. “An_in-Vehicle_System_and_Method_for_During_Accident_Detection_without_being_Fixed_to_Vehicle, 2022 Available Online https://www.researchgate.net/publication/342233982_An_in-Vehicle_System_and_Method_for_During_Accident_Detection_without_being_Fixed_to_Vehicle”.

Cited by 1 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. CDA-Net: Computer Vision based Automatic Car Damage Analysis;Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing;2023-12-15

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