Arc bubble edge detection method based on deep transfer learning in underwater wet welding
Bo Guo,
Xu Li
Abstract:Arc bubble in underwater wet welding reflects the stability of the welding process. An arc bubble edge detection method based on deep transfer learning is proposed to overcome the shortcomings of conventional algorithms in processing underwater wet welding images. The method consists of two training stages: pre-training and fine-tuning. In the pre-training stage, a large source domain dataset is used to train VGG16 as a feature extractor. In the fine-tuning stage, we proposed the Attention-Scale-Semantics (ASS… Show more
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