CarDD: A New Dataset for Vision-Based Car Damage Detection

Author:

Wang Xinkuang1ORCID,Li Wenjing1ORCID,Wu Zhongcheng1

Affiliation:

1. High Magnetic Field Laboratory, HFIPS, Chinese Academy of Sciences, Hefei, China

Funder

Hefei Comprehensive National Science Center through the Pre-Research Project on Key Technologies of Integrated Experimental Facilities of Steady High Magnetic Field and Optical Spectroscopy

High Magnetic Field Laboratory of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference46 articles.

1. Automating Car Insurance Claims Using Deep Learning Techniques

2. Sniper: Efficient multi-scale training;singh;Proc Adv Neural Inf Process Syst,2018

3. A Very Deep Transfer Learning Model for Vehicle Damage Detection and Localization

4. MMDetection: Open MMLab detection toolbox and benchmark;chen;ArXiv 1906 07155,2019

5. Global Topology Constraint Network for Fine-Grained Vehicle Recognition

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