activity
20212023
most citedOpen-Set Likelihood Maximization for Few-Shot Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.LG2022

Model-Agnostic Few-Shot Open-Set Recognition

Malik Boudiaf, Etienne Bennequin, Myriam Tami +4

We tackle the Few-Shot Open-Set Recognition (FSOSR) problem, i.e. classifying instances among a set of classes for which we only have few labeled samples, while simultaneously dete…

cs.CV2022

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling

Etienne Bennequin, Myriam Tami, Antoine Toubhans +1

Every day, a new method is published to tackle Few-Shot Image Classification, showing better and better performances on academic benchmarks. Nevertheless, we observe that these cur…