Deep Active Learning for Surface Defect Detection
Most of the current object detection approaches deliver competitive results with an assumption that a large number of labeled data are generally available and can be fed into a deep network at once. However, due to expensive labeling efforts, it is difficult to deploy the object detection systems in...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/6/1650 |