DINOv3 pretraining yields no frozen advantage and underperforms ImageNet on X-ray but improves convergence and final performance after full finetuning on RGB industrial inspection tasks.
Exploring few-shot defect segmentation in general industrial scenarios with metric learning and vi- sion foundation models.Optics & Laser Technology, 192: 114078
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Rethinking Transfer Learning for Industrial Inspection: DINOv3 vs. ImageNet Pretraining Across RGB and X-ray Tasks
DINOv3 pretraining yields no frozen advantage and underperforms ImageNet on X-ray but improves convergence and final performance after full finetuning on RGB industrial inspection tasks.