Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Piotr Bojanowski"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 5 (2021)
Externí odkaz:
https://doaj.org/article/059037df735a40eabfbfe8e7f5931ad7
Autor:
Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari
Publikováno v:
IROS-IEEE/RSJ International Conference on Intelligent Robots and Systems
IROS-IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2022, Kyoto, Japan
HAL
IROS-IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2022, Kyoto, Japan
HAL
In this work, we address the problem of image-goal navigation in the context of visually-realistic 3D environments. This task involves navigating to a location indicated by a target image in a previously unseen environment. Earlier attempts, includin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::addb3e98f000da27f8491a2fb9633b2e
https://inria.hal.science/hal-03110875
https://inria.hal.science/hal-03110875
Autor:
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91a95c259dce8b16fbf885c8b52b340e
https://doi.org/10.1007/978-3-031-19821-2_26
https://doi.org/10.1007/978-3-031-19821-2_26
Autor:
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Herve Jegou
We present ResMLP, an architecture built entirely upon multi-layer perceptrons for image classification. It is a simple residual network that alternates (i) a linear layer in which image patches interact, independently and identically across channels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d039734818b3004f9b4785d6ef946728
Autor:
Piotr Bojanowski, Josef Sivic, Jean-Baptiste Alayrac, Simon Lacoste-Julien, Ivan Laptev, Nishant Agrawal
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, XX
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2017, XX
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, XX
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2017, XX
International audience; Automatic assistants could guide a person or a robot in performing new tasks, such as changing a car tire or repotting a plant. Creating such assistants, however, is non-trivial and requires understanding of visual and verbal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4af6b6b0ec8308cd3795994ffce86aea
https://doi.org/10.1109/tpami.2017.2749223
https://doi.org/10.1109/tpami.2017.2749223
Publikováno v:
ICCV
ICCV 2019-International Conference on Computer Vision
ICCV 2019-International Conference on Computer Vision, Oct 2019, Seoul, South Korea. pp.2959-2968, ⟨10.1109/ICCV.2019.00305⟩
ICCV 2019-International Conference on Computer Vision
ICCV 2019-International Conference on Computer Vision, Oct 2019, Seoul, South Korea. pp.2959-2968, ⟨10.1109/ICCV.2019.00305⟩
Pre-training general-purpose visual features with convolutional neural networks without relying on annotations is a challenging and important task. Most recent efforts in unsupervised feature learning have focused on either small or highly curated da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fecc603be8f0edcdeddeffb949df5719
https://doi.org/10.1109/iccv.2019.00305
https://doi.org/10.1109/iccv.2019.00305
Autor:
Rui Ferreira, Fabrizio Silvestri, Piotr Bojanowski, Edouard Grave, Necati Bora Edizel, Aleksandra Piktus
Publikováno v:
NAACL-HLT (1)
In this paper we present a method to learn word embeddings that are resilient to misspellings. Existing word embeddings have limited applicability to malformed texts, which contain a non-negligible amount of out-of-vocabulary words. We propose a meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aac1bc23d6e9e02a2b7dd67e23f39dcd
Publikováno v:
ACL (1)
In this paper, we study the problem of hybrid language modeling, that is using models which can predict both characters and larger units such as character ngrams or words. Using such models, multiple potential segmentations usually exist for a given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d850389f11ba5c9afabc6fbf705c74b0
https://doi.org/10.18653/v1/p19-1143
https://doi.org/10.18653/v1/p19-1143
Publikováno v:
EMNLP
Continuous word representations learned separately on distinct languages can be aligned so that their words become comparable in a common space. Existing works typically solve a least-square regression problem to learn a rotation aligning a small bil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::737f2c99f54b0e6bbfce359b370f46e2
http://arxiv.org/abs/1804.07745
http://arxiv.org/abs/1804.07745
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012632
ECCV (14)
ECCV (14)
Clustering is a class of unsupervised learning methods that has been extensively applied and studied in computer vision. Little work has been done to adapt it to the end-to-end training of visual features on large-scale datasets. In this work, we pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b6087f47e50519d49370986ed194d17
https://doi.org/10.1007/978-3-030-01264-9_9
https://doi.org/10.1007/978-3-030-01264-9_9