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Found 6 papers, 2 papers with code
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
We introduce the first audio-visual dataset for traffic anomaly detection taken from real-world scenes, called MAVAD, with a diverse range of weather and illumination conditions.
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications
Images and video frames captured by cameras placed throughout smart cities are often transmitted over the network to a server to be processed by deep neural networks for various tasks.
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series
Industrial processes are monitored by a large number of various sensors that produce time-series data.
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving
Detecting faults in manufacturing applications can be difficult, especially if each fault model is to be engineered by hand.
Visualising Deep Network's Time-Series Representations
Despite the popularisation of machine learning models, more often than not, they still operate as black boxes with no insight into what is happening inside the model.
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset
In order to do so, first a dataset that fully describes the operation of an industrial robot performing automated screwdriving must be available.
