3 papers
cs.CV2025
Object-Centric Cropping for Visual Few-Shot Classification
Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz +1
In the domain of Few-Shot Image Classification, operating with as little as one example per class, the presence of image ambiguities stemming from multiple objects or complex backg…
cs.LG2025
Anomalous Samples for Few-Shot Anomaly Detection
Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz +1
Several anomaly detection and classification methods rely on large amounts of non-anomalous or "normal" samples under the assump- tion that anomalous data is typically harder to ac…
cs.LG2024
On Transfer in Classification: How Well do Subsets of Classes Generalize?
Raphael Baena, Lucas Drumetz, Vincent Gripon
In classification, it is usual to observe that models trained on a given set of classes can generalize to previously unseen ones, suggesting the ability to learn beyond the initial…