Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3127716
Abstract: Deep autoencoder (AE) has demonstrated promising performances in visual anomaly detection (VAD). Learning normal patterns on normal data, deep AE is expected to yield larger reconstruction errors for anomalous samples, which is utilized as the… read more here.
Keywords: augmented deep; visual anomaly; self supervision; anomaly detection ... See more keywords
Memory Augmented Deep Recurrent Neural Network for Video Question Answering
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2938015
Abstract: Video question answering (VideoQA) is a very important but challenging multimedia task, which automatically analyzes questions and videos and generates accurate answers. However, research on VideoQA is still in its infancy. In this article, we… read more here.
Keywords: video; memory augmented; augmented deep; video question ... See more keywords