Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Britto Jr, Alceu S."'
This work draws attention to the large fraction of near-duplicates in the training and test sets of datasets widely adopted in License Plate Recognition (LPR) research. These duplicates refer to images that, although different, show the same license
Externí odkaz:
http://arxiv.org/abs/2304.04653
Autor:
Hochuli, Andre G., Britto Jr., Alceu S., de Almeida, Paulo R. L., Alves, Williams B. S., Cagni, Fabio M. C.
When using vision-based approaches to classify individual parking spaces between occupied and empty, human experts often need to annotate the locations and label a training set containing images collected in the target parking lot to fine-tune the sy
Externí odkaz:
http://arxiv.org/abs/2207.11372
Autor:
Ataky, Steve T. M., Saqui, Diego, de Matos, Jonathan, Britto Jr., Alceu S., Koerich, Alessandro L.
Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for image analysis and manipulation over a spectrum of spatial scales. This paper employs the Gaussi
Externí odkaz:
http://arxiv.org/abs/2204.09841
Autor:
Zanlorensi, Luiz A., Laroca, Rayson, Lucio, Diego R., Santos, Lucas R., Britto Jr., Alceu S., Menotti, David
Publikováno v:
Scientific Reports, vol. 12, p. 17989, 2022
Recently, ocular biometrics in unconstrained environments using images obtained at visible wavelength have gained the researchers' attention, especially with images captured by mobile devices. Periocular recognition has been demonstrated to be an alt
Externí odkaz:
http://arxiv.org/abs/2011.12427
This paper describes a classifier pool generation method guided by the diversity estimated on the data complexity and classifier decisions. First, the behavior of complexity measures is assessed by considering several subsamples of the dataset. The c
Externí odkaz:
http://arxiv.org/abs/2011.01908
Autor:
Hochuli, Andre G., Britto Jr, Alceu S., Saji, David A., Saavedra, Jose M., Sabourin, Robert, Oliveira, Luiz S.
Publikováno v:
Expert System with Applications (2020)
Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted to digit segmentation, which is dominated by heuristics, thereby imposing substantial constraints on the final performance. Few of them have
Externí odkaz:
http://arxiv.org/abs/2010.15904
Usually, in a real-world scenario, few signature samples are available to train an automatic signature verification system (ASVS). However, such systems do indeed need a lot of signatures to achieve an acceptable performance. Neuromotor signature dup
Externí odkaz:
http://arxiv.org/abs/2010.06663
Autor:
Mangolin, Rafael B., Pereira, Rodolfo M., Britto Jr., Alceu S., Silla Jr., Carlos N., Feltrim, Valéria D., Bertolini, Diego, Costa, Yandre M. G.
Movie genre classification is a challenging task that has increasingly attracted the attention of researchers. In this paper, we addressed the multi-label classification of the movie genres in a multimodal way. For this purpose, we created a dataset
Externí odkaz:
http://arxiv.org/abs/2006.00654
Automatic plant classification is a challenging problem due to the wide biodiversity of the existing plant species in a fine-grained scenario. Powerful deep learning architectures have been used to improve the classification performance in such a fin
Externí odkaz:
http://arxiv.org/abs/2005.09110
Autor:
Pinhelli, Fabio, Britto Jr, Alceu S., Oliveira, Luiz S., Costa, Yandre M. G., Bertolini, Diego
The writing can be used as an important biometric modality which allows to unequivocally identify an individual. It happens because the writing of two different persons present differences that can be explored both in terms of graphometric properties
Externí odkaz:
http://arxiv.org/abs/2005.08424