20 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.CV2021
Performance Analysis of a Foreground Segmentation Neural Network Model
Joel Tomás Morais, António Ramires Fernandes, André Leite Ferreira +1
In recent years the interest in segmentation has been growing, being used in a wide range of applications such as fraud detection, anomaly detection in public health and intrusion…
eess.AS2020★ 20 cited
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds
Alexandrine Ribeiro, Luis Miguel Matos, Pedro Jose Pereira +4
This technical report describes two methods that were developed for Task 2 of the DCASE 2020 challenge. The challenge involves an unsupervised learning to detect anomalous sounds,…