1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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…
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Aymane Abdali, Vincent Gripon, Lucas Drumetz +1
We consider a novel formulation of the problem of Active Few-Shot Classification (AFSC) where the objective is to classify a small, initially unlabeled, dataset given a very restra…