Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts’ Knowledge

Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts’ Knowledge

Distress image retrieval for infrastructure maintenance via self-trained deep metric learning using experts’ knowledge is proposed in this paper. Since engineers take multiple images of a single distress part for inspection of road structures, it is necessary to construct a similar distre...

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Bibliographic Details
Main Authors: Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Distress image retrieval
self-trained approach
pseudo-label
deep metric learning
Online Access:https://ieeexplore.ieee.org/document/9406804/

Internet

https://ieeexplore.ieee.org/document/9406804/

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