Výsledky vyhledávání - "Anderson Brilhador"

Akademický článek

Autor: Anderson Brilhador, Rodrigo Tchalski da Silva, Carlos Roberto Modinez-Junior, Gabriel de Almeida Spadafora, Heitor Silverio Lopes, Andre Eugenio Lazzaretti

Publikováno v: IEEE Access, Vol 12, Pp 107181-107200 (2024)

Tattoos can serve as an essential source of biometric information for public security, aiding in identifying suspects and victims. In order to automate tattoo classification, tasks like classification require more detailed image content analysis, suc

Externí odkaz: https://doaj.org/article/57a9a1e25118436c82de9b8d0afb6ca3

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Co-production of knowledge among rural women: paths to female recognition in rural areas

Autor: Alessandra Matte, Gabriela Litre, Anderson Brilhador, Márcia de Fátima de Moraes, Talia Callegaro de Jesus, Verônica Bogado Camporezi

Publikováno v: Sustainability in Debate; Vol. 12 No. 2 (2021): Sustainability in Debate / Sustentabilidade em Debate; 254-283
Sustainability in Debate; Vol. 12 Núm. 2 (2021): Sustainability in Debate / Sustentabilidade em Debate; 254-283
Sustainability in Debate; v. 12 n. 2 (2021): Sustainability in Debate / Sustentabilidade em Debate; 254-283

This article explores the potential of dialogue networks as tools for valuing rural women and overcoming the traditional marginalization of rural women in the countryside. The guiding hypothesis is that when given opportunities to co-produce solution

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a503fcab54d1e843cbbbd8d7b72de2b0
https://doi.org/10.18472/sustdeb.v12n2.2021.37700

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A Comparative Study for Open Set Semantic Segmentation Methods

Autor: Heitor Silvério Lopes, André Eugênio Lazzaretti, Matheus Gutoski, Anderson Brilhador

Publikováno v: Anais do 15. Congresso Brasileiro de Inteligência Computacional.

Typical semantic segmentation methods do not recognize unknown pixels during the test or deployment stage. This capability is critical for open-world environment applications where unseen objects appear all the time. Recently, to solve those limitati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1b852b9b3b6860095076e16bd5a8e564
https://doi.org/10.21528/cbic2021-65

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Semantic Segmentation of Clothes in the Context of Soft Biometrics Using Deep Learning Methods

Autor: Heitor Silvério Lopes, Anderson Brilhador, Andrei de Souza Inácio

Publikováno v: Anais do 14. Congresso Brasileiro de Inteligência Computacional.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8aac18c03eaaf207b57fe5f38a2b2ecd
https://doi.org/10.21528/cbic2019-77

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Classification of Weeds and Crops at the Pixel-Level Using Convolutional Neural Networks and Data Augmentation

Autor: André Eugênio Lazzaretti, Andrei de Souza Inácio, Matheus Gutoski, Anderson Brilhador, Leandro Takeshi Hattori, Heitor Silvério Lopes

Publikováno v: LA-CCI

The Pixel-Level Classification of crops and weeds is an open problem in computer vision. The use of agrochemicals is necessary for effective weed control, but one of the great challenges of precision agriculture is to reduce their use while maintaini

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e5da7f5ae9c16dd45e1e58f95a4a4706
https://doi.org/10.1109/la-cci47412.2019.9037044

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A Computer Vision Approach for Automatic Measurement of the Inter-plant Spacing

Autor: Fabrício Martins Lopes, Daniel A. Serrarens, Anderson Brilhador

Publikováno v: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319257501
CIARP

Global food demand is increasing every year and it is needed to respond to this demand. In addition, some crops such as corn, which is the most produced grain in the world, is used as food, feed, bio-energy and other industrial purposes. Thus, it is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2fb1223fbe8897cdf9d6934eb6dda441
https://doi.org/10.1007/978-3-319-25751-8_27

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Combining Texture and Shape Descriptors for Bioimages Classification: A Case of Study in ImageCLEF Dataset

Autor: Pedro Henrique Bugatti, Thiago Pereira Colonhezi, Fabrício Martins Lopes, Anderson Brilhador

Publikováno v: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642418211
CIARP (1)

Nowadays a huge volume of data e.g. images and videos are daily generated in several areas. The importance of this subject has led to a new paradigm known as eScience. In this scenario, the biological image domain emerges as an important research are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5593f1f2d859ab21574f7e3424a8c177
https://doi.org/10.1007/978-3-642-41822-8_54

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