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pro vyhledávání: '"Da Costa, Victor"'
Few-shot image classification aims to learn an image classifier using only a small set of labeled examples per class. A recent research direction for improving few-shot classifiers involves augmenting the labelled samples with synthetic images create
Externí odkaz:
http://arxiv.org/abs/2312.03046
Autor:
Lamblin, Mathieu, Chowrira, Bhavishya, Da Costa, Victor, Vileno, Bertrand, Joly, Loic, Boukari, Samy, Weber, Wolfgang, Bernard, Romain, Gobaut, Benoit, Hehn, Michel, Lacour, Daniel, Bowen, Martin
An electrical current that flows across individual atoms or molecules can generate exotic quantum-based behavior, from memristive effects to Coulomb blockade and the promotion of quantum excited states. These fundamental effects typically appear one
Externí odkaz:
http://arxiv.org/abs/2308.16592
In an effort to reduce annotation costs in action recognition, unsupervised video domain adaptation methods have been proposed that aim to adapt a predictive model from a labelled dataset (i.e., source domain) to an unlabelled dataset (i.e., target d
Externí odkaz:
http://arxiv.org/abs/2301.03322
Autor:
Derakhshani, Mohammad Mahdi, Sanchez, Enrique, Bulat, Adrian, da Costa, Victor Guilherme Turrisi, Snoek, Cees G. M., Tzimiropoulos, Georgios, Martinez, Brais
Foundational image-language models have generated considerable interest due to their efficient adaptation to downstream tasks by prompt learning. Prompt learning treats part of the language model input as trainable while freezing the rest, and optimi
Externí odkaz:
http://arxiv.org/abs/2210.02390
Autor:
da Costa, Victor G. Turrisi, Zara, Giacomo, Rota, Paolo, Oliveira-Santos, Thiago, Sebe, Nicu, Murino, Vittorio, Ricci, Elisa
Over the last few years, Unsupervised Domain Adaptation (UDA) techniques have acquired remarkable importance and popularity in computer vision. However, when compared to the extensive literature available for images, the field of videos is still rela
Externí odkaz:
http://arxiv.org/abs/2207.12842
The nanoscopic characterization of ferroelectric thin films is crucial from their device application point of view. Standard characterization techniques are based on detecting the nanoscopic charge compensation current (switching current) caused by t
Externí odkaz:
http://arxiv.org/abs/2203.06157
Autor:
Batista Ferreira, Wellington, Batista Chaves Azevedo de Souza, Marina, Aparecida Alves da Silva, Carla, Emmilly Guedes da Silva, Jully, Cristina de Oliveira e Silva, Ana, Maria do Carmo Alonso, Carolina, Maria Mont’Alverne de Barros, Márcia, da Silva Rodrigues, Daniela, Carollyne Dantas de Lima, Ana, Bernardes Barroso da Costa, Victor, Iansã de Lima Barroso, Barbara
Publikováno v:
In Safety Science October 2024 178
Autor:
Fini, Enrico, da Costa, Victor G. Turrisi, Alameda-Pineda, Xavier, Ricci, Elisa, Alahari, Karteek, Mairal, Julien
Self-supervised models have been shown to produce comparable or better visual representations than their supervised counterparts when trained offline on unlabeled data at scale. However, their efficacy is catastrophically reduced in a Continual Learn
Externí odkaz:
http://arxiv.org/abs/2112.04215
Autor:
da Silva Ferreira, Marcus Vinicius, Barbon Junior, Sylvio, Turrisi da Costa, Victor G., Barbin, Douglas Fernandes, Lucena Barbosa Jr, José
Publikováno v:
In Scientia Horticulturae 1 December 2024 338
Autor:
Mohapatra, Sambit, Cherifi-Hertel, Salia, Kuppusamy, Senthil Kumar, Schmerber, Guy, Arabski, Jacek, Gobaut, Benoit, Weber, Wolfgang, Bowen, Martin, Da Costa, Victor, Boukari, Samy
Owing to prospective energy-efficient and environmentally benign applications, organic ferroelectric materials are useful and necessary alternative to inorganic ferroelectrics. Although the first discovered ferroelectric, Rochelle salt, was a salt of
Externí odkaz:
http://arxiv.org/abs/2110.12519