An Automatic Bridge Cable Surface Inspection System Based on Machine Vision and Deep Few-Shot Learning

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Abstract

A deep-learning based few-shot object detection algorithm is adopted to perform cable damage detection. Cross domain knowledge transfer is exploit so that the deep learning model can learn to identify cable damage by given a few samples.

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