Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Moutakanni, Théo"'
Self-Supervised learning (SSL) with Joint-Embedding Architectures (JEA) has led to outstanding performances. All instantiations of this paradigm were trained using strong and well-established hand-crafted data augmentations, leading to the general be
Externí odkaz:
http://arxiv.org/abs/2406.09294
Autor:
Vo, Huy V., Khalidov, Vasil, Darcet, Timothée, Moutakanni, Théo, Smetanin, Nikita, Szafraniec, Marc, Touvron, Hugo, Couprie, Camille, Oquab, Maxime, Joulin, Armand, Jégou, Hervé, Labatut, Patrick, Bojanowski, Piotr
Self-supervised features are the cornerstone of modern machine learning systems. They are typically pre-trained on data collections whose construction and curation typically require extensive human effort. This manual process has some limitations sim
Externí odkaz:
http://arxiv.org/abs/2405.15613
Autor:
Moutakanni, Théo, Bojanowski, Piotr, Chassagnon, Guillaume, Hudelot, Céline, Joulin, Armand, LeCun, Yann, Muckley, Matthew, Oquab, Maxime, Revel, Marie-Pierre, Vakalopoulou, Maria
AI Foundation models are gaining traction in various applications, including medical fields like radiology. However, medical foundation models are often tested on limited tasks, leaving their generalisability and biases unexplored. We present RayDINO
Externí odkaz:
http://arxiv.org/abs/2405.01469
Autor:
Tolan, Jamie, Yang, Hung-I, Nosarzewski, Ben, Couairon, Guillaume, Vo, Huy, Brandt, John, Spore, Justine, Majumdar, Sayantan, Haziza, Daniel, Vamaraju, Janaki, Moutakanni, Theo, Bojanowski, Piotr, Johns, Tracy, White, Brian, Tiecke, Tobias, Couprie, Camille
Publikováno v:
Remote Sensing of Environment 300, 113888, 2024
Vegetation structure mapping is critical for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. Repeated measurements of these data allow for the observation of deforestation or degradat
Externí odkaz:
http://arxiv.org/abs/2304.07213
Autor:
Oquab, Maxime, Darcet, Timothée, Moutakanni, Théo, Vo, Huy, Szafraniec, Marc, Khalidov, Vasil, Fernandez, Pierre, Haziza, Daniel, Massa, Francisco, El-Nouby, Alaaeldin, Assran, Mahmoud, Ballas, Nicolas, Galuba, Wojciech, Howes, Russell, Huang, Po-Yao, Li, Shang-Wen, Misra, Ishan, Rabbat, Michael, Sharma, Vasu, Synnaeve, Gabriel, Xu, Hu, Jegou, Hervé, Mairal, Julien, Labatut, Patrick, Joulin, Armand, Bojanowski, Piotr
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. These models could greatly simplify the use of images in any system by pro
Externí odkaz:
http://arxiv.org/abs/2304.07193
Autor:
Tolan, Jamie, Yang, Hung-I, Nosarzewski, Benjamin, Couairon, Guillaume, Vo, Huy V., Brandt, John, Spore, Justine, Majumdar, Sayantan, Haziza, Daniel, Vamaraju, Janaki, Moutakanni, Theo, Bojanowski, Piotr, Johns, Tracy, White, Brian, Tiecke, Tobias, Couprie, Camille
Publikováno v:
In Remote Sensing of Environment 1 January 2024 300
Autor:
Doron M; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Moutakanni T; Meta AI, Paris, France., Chen ZS; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Moshkov N; Synthetic and Systems Biology Unit, Biological Research Centre (BRC), Szeged, Hungary., Caron M; Meta AI, Paris, France., Touvron H; Meta AI, Paris, France., Bojanowski P; Meta AI, Paris, France., Pernice WM; Department of Neurology, Columbia University Medical Center, New York, NY, USA., Caicedo JC; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2023 Jun 18. Date of Electronic Publication: 2023 Jun 18.