2 papers
cs.CV2026
Rethinking Transfer Learning for Industrial Inspection: DINOv3 vs. ImageNet Pretraining Across RGB and X-ray Tasks
Mehdi Gharbage, Céline Teulière, Pierre Bouges +1
Vision foundation models pretrained on web-scale data have recently shown strong transfer capabilities on many downstream tasks, but their effectiveness for industrial visual inspe…
cs.LG2024
Toward industrial use of continual learning : new metrics proposal for class incremental learning
Konaté Mohamed Abbas, Anne-Françoise Yao, Thierry Chateau +1
In this paper, we investigate continual learning performance metrics used in class incremental learning strategies for continual learning (CL) using some high performing methods. W…