ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing

no code implementations • 19 May 2023 • Matheus Henrique Marques da Silva, Jhessica Victoria Santos da Silva, Rodrigo Reis Arrais, Wladimir Barroso Guedes de Araújo Neto, Leonardo Tadeu Lopes, Guilherme Augusto Bileki, Iago Oliveira Lima, Lucas Borges Rondon, Bruno Melo de Souza, Mayara Costa Regazio, Rodolfo Coelho Dalapicola, Claudio Filipi Gonçalves dos Santos

The entire Image Signal Processor (ISP) of a camera relies on several processes to transform the data from the Color Filter Array (CFA) sensor, such as demosaicing, denoising, and enhancement.

Demosaicking Denoising

eXplainable Artificial Intelligence on Medical Images: A Survey

no code implementations • 12 May 2023 • Matteus Vargas Simão da Silva, Rodrigo Reis Arrais, Jhessica Victoria Santos da Silva, Felipe Souza Tânios, Mateus Antonio Chinelatto, Natalia Backhaus Pereira, Renata De Paris, Lucas Cesar Ferreira Domingos, Rodrigo Dória Villaça, Vitor Lopes Fabris, Nayara Rossi Brito da Silva, Ana Claudia Akemi Matsuki de Faria, Jose Victor Nogueira Alves da Silva, Fabiana Cristina Queiroz de Oliveira Marucci, Francisco Alves de Souza Neto, Danilo Xavier Silva, Vitor Yukio Kondo, Claudio Filipi Gonçalves dos Santos

A recent field in the machine learning area is explainable artificial intelligence, also known as XAI, which targets to explain the results of such black box models to permit the desired assessment.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

Gait Recognition Based on Deep Learning: A Survey

no code implementations • 10 Jan 2022 • Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry P. Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo

In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately.

Gait Recognition

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

no code implementations • 10 Jan 2022 • Claudio Filipi Gonçalves dos Santos, João Paulo Papa

The works are classified into three main areas: the first one is called "data augmentation", where all the techniques focus on performing changes in the input data.

Data Augmentation Image Classification +2