A Closer Look at AUROC and AUPRC under Class Imbalance
In machine learning (ML), a widespread adage is that the area under the precision-recall
curve (AUPRC) is a superior metric for model comparison to the area under the receiver …
curve (AUPRC) is a superior metric for model comparison to the area under the receiver …
Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment
Abstract Video Anomaly Detection (VAD) identifies unusual activities in video streams a key
technology with broad applications ranging from surveillance to healthcare. Tackling VAD in …
technology with broad applications ranging from surveillance to healthcare. Tackling VAD in …
An Exploratory Study on Human-Centric Video Anomaly Detection Through Variational Autoencoders and Trajectory Prediction
Abstract Video Anomaly Detection (VAD) represents a challenging and prominent research
task within computer vision. In recent years, Pose-based Video Anomaly Detection (PAD) …
task within computer vision. In recent years, Pose-based Video Anomaly Detection (PAD) …
[HTML][HTML] Three dimensional tracking of rigid objects in motion using 2D optical flows
Detecting and tracking objects in image sequences is paramount for any video analytic.
While object detectors have become increasingly robust, motion estimates based on the …
While object detectors have become increasingly robust, motion estimates based on the …