1 code implementation • 3 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.
no code implementations • 11 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.
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.
1 code implementation • 30 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.
no code implementations • 21 Oct 2019 • Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal
Nowadays, autonomous driving systems can detect, segment, and classify the surrounding obstacles using a monocular camera.
1 code implementation • 4 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.
no code implementations • 3 Oct 2019 • Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frederic Dufaux
Nowadays, supervised deep learning techniques yield the best state-of-the-art prediction performances for a wide variety of computer vision tasks.