Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Multimedia datasets for anomaly detection: a review
Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …
wide range of applications expanding from outlier objects/situation detection to the detection …
Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts
L Pham, D Ngo, D Salovic, A Jalali, A Schindler… - Applied Acoustics, 2023 - Elsevier
In this paper, we propose lightweight deep neural networks for Acoustic Scene Classification
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …
(ASC) and a visualization method for presenting a sound scene context. To this end, we first …
Wider or deeper neural network architecture for acoustic scene classification with mismatched recording devices
In this paper, we present a robust and low complexity model for Acoustic Scene
Classification (ASC), the task of identifying the scene of an audio recording. We firstly …
Classification (ASC), the task of identifying the scene of an audio recording. We firstly …
Robust, general, and low complexity acoustic scene classification systems and an effective visualization for presenting a sound scene context
In this paper, we present a comprehensive analysis of Acoustic Scene Classification (ASC),
the task of identifying the scene of an audio recording from its acoustic signature. In …
the task of identifying the scene of an audio recording from its acoustic signature. In …
Remote sensing image classification using transfer learning and attention-based deep neural network
The task of remote sensing image scene classification (RSISC), which aims at classifying
remote sensing images into groups of semantic categories based on their contents, has …
remote sensing images into groups of semantic categories based on their contents, has …