Search Results for author: Florent Chiaroni

Found 7 papers, 4 papers with code

Bag of Tricks for Fully Test-Time Adaptation

1 code implementation3 Oct 2023 Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed

Fully Test-Time Adaptation (TTA), which aims at adapting models to data drifts, has recently attracted wide interest.

Test-time Adaptation

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning

no code implementations11 Jul 2023 Julien Nicolas, Florent Chiaroni, Imtiaz Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz

Despite the recent progress in incremental learning, addressing catastrophic forgetting under distributional drift is still an open and important problem.

Incremental Learning

Parametric Information Maximization for Generalized Category Discovery

1 code implementation ICCV 2023 Florent Chiaroni, Jose Dolz, Ziko Imtiaz Masud, Amar Mitiche, Ismail Ben Ayed

We introduce a Parametric Information Maximization (PIM) model for the Generalized Category Discovery (GCD) problem.

Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions

1 code implementation30 Jul 2022 Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed

We explore clustering the softmax predictions of deep neural networks and introduce a novel probabilistic clustering method, referred to as k-sBetas.

Clustering Descriptive +1

Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification

1 code implementation4 Oct 2019 Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frederic Dufaux

In this manner, the discriminator is constrained to request the generator to converge towards the unlabeled samples distribution while diverging from the positive samples distribution.

General Classification Image Classification

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