Search Results for author: Flavio de Barros Vidal

Found 9 papers, 1 papers with code

Embedding Aggregation for Forensic Facial Comparison

no code implementations29 Apr 2023 Rafael Oliveira Ribeiro, João C. R. Neves, Arnout C. C. Ruifrok, Flavio de Barros Vidal

We demonstrate the benefits of this approach in forensic evaluation settings with the development and validation of score-based likelihood ratio systems and report improvements in Cllr of up to 95% (from 0. 249 to 0. 012) for CCTV images and of up to 96% (from 0. 083 to 0. 003) for social media images.

Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation

no code implementations28 Sep 2021 Ana Paula G. S. de Almeida, Flavio de Barros Vidal

In the early 1990s, the first signs of life of the CNN era were given: LeCun et al. proposed a CNN model trained by the backpropagation algorithm to classify low-resolution images of handwritten digits.

Classification Image Classification

NemaNet: A convolutional neural network model for identification of nematodes soybean crop in brazil

no code implementations5 Mar 2021 Andre da Silva Abade, Lucas Faria Porto, Paulo Afonso Ferreira, Flavio de Barros Vidal

The general average calculated for each model, on a from-scratch training, the NemaNet model reached 96. 99% accuracy, while the best evaluation fold reached 98. 03%.

Transfer Learning

Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review

no code implementations9 Sep 2020 Andre S. Abade, Paulo Afonso Ferreira, Flavio de Barros Vidal

Plant diseases are considered one of the main factors influencing food production and minimize losses in production, and it is essential that crop diseases have fast detection and recognition.

Estimating sex and age for forensic applications using machine learning based on facial measurements from frontal cephalometric landmarks

no code implementations6 Aug 2019 Lucas F. Porto, Laise N. Correia Lima, Ademir Franco, Carlos Eduardo Machado Palhares, Donald M. Pianto, Flavio de Barros Vidal

This manuscript presents an approach using photo-anthropometric indexes, generated from frontal faces cephalometric landmarks, to create an artificial neural network classifier that allows the estimation of anthropological information, in this specific case age and sex.

Age Estimation

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