Summary
Barcelona Supercomputing Center
List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces.
Object-detection models such as RetinaNet and CNN models finetuned via Transfer Learning to detect defects.
Fine-tuning pre-trained models via transfer learning is particularly effective when the target task has a limited amount of labeled data or when training from scratch is prohibitively expensive in terms of time or computational resources.
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