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About An Anti-Fraud System For Car Insurance Claim Based On Visual Evidence
1) The document proposes an anti-fraud system for car insurance claims based on visual evidence from images. 2) It contributes the first dataset of car damage images collected from the internet and parking lots, with manual annotations. 3) The system uses a modified YOLO object detector to accurately locate damage regions in images. Both local and global deep features are extracted and fused to generate robust representations for matching against a claims history database to detect fraudulent duplicate claims.
Detailed Information
| Author: | ['eminem hc'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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