3 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…
q-bio.NC2026
Predictive Coding Light+: learning to predict visual sequences with spike timing-dependent plasticity and synaptic delays
Antony W. N'dri, Thomas Barbier, Céline Teulière +1
The ability to predict the future is of great value for biological and artificial cognitive systems alike. However, successfully predicting the future typically requires maintainin…
cs.LG2025
Seeing the Whole in the Parts in Self-Supervised Representation Learning
Arthur Aubret, Céline Teulière, Jochen Triesch
Recent successes in self-supervised learning (SSL) model spatial co-occurrences of visual features either by masking portions of an image or by aggressively cropping it. Here, we p…