Grégoire Petit

According to our database, Grégoire Petit authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic Data.

Grégoire Petit, Nathan Palluau, Axel Bauer, Clemens Dlaska

CoRR, 2024

FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing.

Eduard Hogea, Adrian Popescu, Darian M. Onchis, Grégoire Petit

CoRR, 2024

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning.

Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Class-Incremental Learning in an Exemplar-Free setup. (Apprentissage incrémental par classes en environnement sans exemples passés).

Grégoire Petit

PhD thesis, 2023

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning.

Grégoire Petit, Adrian Popescu, Hugo Schindler, David Picard, Bertrand Delezoide

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

AdvisIL - A Class-Incremental Learning Advisor.

Eva Feillet, Grégoire Petit, Adrian Popescu, Marina Reyboz, Céline Hudelot

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning.

Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning.

Grégoire Petit, Adrian Popescu, Eden Belouadah, David Picard, Bertrand Delezoide

CoRR, 2022