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Efficient Breast Cancer Classification Using Histopathological Images and a Simple VGG
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2022)
Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks
In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting ...
Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks
In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting ...
Capsule neural networks for structural damage localization and quantification using transmissibility data
(Elsevier, 2020)
One of the current challenges in structural health monitoring (SHM) is to take the most advantage
of large amounts of data to deliver accurate damage measurements and predictions. Deep Learning
methods tackle these ...
Comparison of Classical Computer Vision vs. Convolutional Neural Networks for Weed Mapping in Aerial Images
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
Automatic object extraction from high resolution aerial imagery with simple linear iterative clustering and convolutional neural networks
(2019-09-17)
Recent advances in machine learning techniques for image classification have led to the development of robust approaches to both object detection and extraction. Traditional CNN architectures, such as LeNet, AlexNet and ...
Entropy-Based Filter Selection in CNNs Applied to Text Classification
(2020-01-01)
Filter selection in convolutional neural networks aims at finding the most important filters in a convolutional layer, with the goal of reducing computational costs and needed storage, as well as understanding the networks’ ...