Few-shot Learning Combine Attention Mechanism-Based Defect Detection in Bar Surface
نویسندگان
چکیده
منابع مشابه
Few-shot Object Detection
In this paper, we study object detection using a large pool of unlabeled images and only a few labeled images per category, named “few-shot object detection”. The key challenge consists in generating trustworthy training samples as many as possible from the pool. Using few training examples as seeds, our method iterates between model training and high-confidence sample selection. In training, e...
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Machine learning has improved state-of-the art performance in numerous domains, by using large amounts of data. In reality, labelled data is often not available for the task of interest. A fundamental problem of artificial intelligence is finding a representation that can generalize to never seen before classes. In this research, the power of generative models is combined with disentangled repr...
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ژورنال
عنوان ژورنال: ISIJ International
سال: 2019
ISSN: 0915-1559,1347-5460
DOI: 10.2355/isijinternational.isijint-2018-722