1 code implementation • 24 May 2024 • Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
In this work, we consider the problem of automatic curation of high-quality datasets for self-supervised pre-training.
no code implementations • 18 Mar 2024 • François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek
Despite the availability of large datasets for tasks like image classification and image-text alignment, labeled data for more complex recognition tasks, such as detection and segmentation, is less abundant.
12 code implementations • 14 Apr 2023 • Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision.
Ranked #1 on Image Classification on CIFAR-10 (using extra training data)
1 code implementation • 30 Jun 2022 • Marc Szafraniec, Baptiste Roziere, Hugh Leather, Francois Charton, Patrick Labatut, Gabriel Synnaeve
Here we propose to augment code translation with IRs, specifically LLVM IR, with results on the C++, Java, Rust, and Go languages.
2 code implementations • NeurIPS 2021 • Baptiste Roziere, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample
Recent advances in self-supervised learning have dramatically improved the state of the art on a wide variety of tasks.
1 code implementation • NeurIPS 2020 • Natalia Neverova, David Novotny, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
In this work, we focus on the task of learning and representing dense correspondences in deformable object categories.
no code implementations • 28 Jul 2017 • Marc Szafraniec, Gautier Marti, Philippe Donnat
Information distribution by electronic messages is a privileged means of transmission for many businesses and individuals, often under the form of plain-text tables.