Zobrazeno 1 - 10
of 756
pro vyhledávání: '"Carion, A."'
Autor:
Ravi, Nikhila, Gabeur, Valentin, Hu, Yuan-Ting, Hu, Ronghang, Ryali, Chaitanya, Ma, Tengyu, Khedr, Haitham, Rädle, Roman, Rolland, Chloe, Gustafson, Laura, Mintun, Eric, Pan, Junting, Alwala, Kalyan Vasudev, Carion, Nicolas, Wu, Chao-Yuan, Girshick, Ross, Dollár, Piotr, Feichtenhofer, Christoph
We present Segment Anything Model 2 (SAM 2), a foundation model towards solving promptable visual segmentation in images and videos. We build a data engine, which improves model and data via user interaction, to collect the largest video segmentation
Externí odkaz:
http://arxiv.org/abs/2408.00714
Autor:
Hall, Melissa, Ross, Candace, Williams, Adina, Carion, Nicolas, Drozdzal, Michal, Soriano, Adriana Romero
The unprecedented photorealistic results achieved by recent text-to-image generative systems and their increasing use as plug-and-play content creation solutions make it crucial to understand their potential biases. In this work, we introduce three i
Externí odkaz:
http://arxiv.org/abs/2308.06198
We argue that there are many notions of 'similarity' and that models, like humans, should be able to adapt to these dynamically. This contrasts with most representation learning methods, supervised or self-supervised, which learn a fixed embedding fu
Externí odkaz:
http://arxiv.org/abs/2306.07969
Autor:
Yolanda Y. Huang, Morgan N. Price, Allison Hung, Omree Gal-Oz, Surya Tripathi, Christopher W. Smith, Davian Ho, Héloïse Carion, Adam M. Deutschbauer, Adam P. Arkin
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract A mechanistic understanding of host-microbe interactions in the gut microbiome is hindered by poorly annotated bacterial genomes. While functional genomics can generate large gene-to-phenotype datasets to accelerate functional discovery, the
Externí odkaz:
https://doaj.org/article/6c26e2bd51264f1ca4e44d71b211f4aa
Many common methods for learning a world model for pixel-based environments use generative architectures trained with pixel-level reconstruction objectives. Recently proposed Joint Embedding Predictive Architectures (JEPA) offer a reconstruction-free
Externí odkaz:
http://arxiv.org/abs/2211.10831
Unsupervised visual representation learning offers the opportunity to leverage large corpora of unlabeled trajectories to form useful visual representations, which can benefit the training of reinforcement learning (RL) algorithms. However, evaluatin
Externí odkaz:
http://arxiv.org/abs/2208.12345
Autor:
Yuxin Wang, Loveleen Banga, Abdul Shukkur Ebrahim, Thomas W. Carion, Gabriel Sosne, Elizabeth A. Berger
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionCurrent treatments for bacterial keratitis fail to address the sight-threatening inflammatory host response. Our recent work elucidating the therapeutic mechanisms of adjunctive thymosin beta-4 (Tβ4) in resolving inflammation and infecti
Externí odkaz:
https://doaj.org/article/83092fed49fa4287b94f53f0c1a2df75
Training self-driving systems to be robust to the long-tail of driving scenarios is a critical problem. Model-based approaches leverage simulation to emulate a wide range of scenarios without putting users at risk in the real world. One promising pat
Externí odkaz:
http://arxiv.org/abs/2204.07184
Autor:
Kamath, Aishwarya, Singh, Mannat, LeCun, Yann, Synnaeve, Gabriel, Misra, Ishan, Carion, Nicolas
Multi-modal reasoning systems rely on a pre-trained object detector to extract regions of interest from the image. However, this crucial module is typically used as a black box, trained independently of the downstream task and on a fixed vocabulary o
Externí odkaz:
http://arxiv.org/abs/2104.12763
Autor:
Carion, Nicolas, Massa, Francisco, Synnaeve, Gabriel, Usunier, Nicolas, Kirillov, Alexander, Zagoruyko, Sergey
We present a new method that views object detection as a direct set prediction problem. Our approach streamlines the detection pipeline, effectively removing the need for many hand-designed components like a non-maximum suppression procedure or ancho
Externí odkaz:
http://arxiv.org/abs/2005.12872