Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Jurandy Almeida"'
Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation
Autor:
Bruna Alberton, Ricardo da S. Torres, Leonardo F. Cancian, Bruno D. Borges, Jurandy Almeida, Greice C. Mariano, Jefersson dos Santos, Leonor Patricia Cerdeira Morellato
Publikováno v:
Perspectives in Ecology and Conservation, Vol 15, Iss 2, Pp 82-90 (2017)
The application of digital cameras to monitor the environment is becoming global and changing the way of phenological data collection. The technique of repeated digital photographs to monitor plant phenology (phenocams) has increased due to its low-c
Externí odkaz:
https://doaj.org/article/2a8887fbaece45cca3c93a82221403f7
Autor:
Mateus De Souza Miranda, Lucas Fernando Alvarenga e Silva, Samuel Felipe Dos Santos, Valdivino Alexandre de Santiago Junior, Thales Sehn Korting, Jurandy Almeida
Publikováno v:
2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).
Autor:
Luiz H. Buris, Daniel C. G. Pedronette, Joao P. Papa, Jurandy Almeida, Gustavo Carneiro, Fabio A. Faria
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Deep learning architectures have achieved promising results in different areas (e.g., medicine, agriculture, and security). However, using those powerful techniques in many real applications becomes challenging due to the large labeled collections re
Autor:
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da Silva Torres
Publikováno v:
Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2019-10-04T12:41:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-12-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coor
Autor:
João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fabio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
Publikováno v:
Journal of Visual Communication and Image Representation. 89:103666
Deep learning (DL) has been the primary approach used in various computer vision tasks due to its relevant results achieved on many tasks. However, on real-world scenarios with partially or no labeled data, DL methods are also prone to the well-known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07603a014e6ad2db69b155420ed67785
http://arxiv.org/abs/2109.02693
http://arxiv.org/abs/2109.02693
Publikováno v:
Computer Vision and Image Understanding. 222:103485
Deep learning revolution happened thanks to the availability of a massive amount of labeled data which contributed to the development of models with extraordinary inference capabilities. Despite the public availability of large-scale datasets, to add
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2018-12-11T16:53:57Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-01-01 Multimedia data, such as images and videos, has become very popular in people's daily life as a result of the widespread use of mobile device
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030934194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f172b7985edefdb65fbc807638b725e
https://doi.org/10.1007/978-3-030-93420-0_23
https://doi.org/10.1007/978-3-030-93420-0_23