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Found 6 papers, 0 papers with code
UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving
Multi-camera setups find widespread use across various applications, such as autonomous driving, as they greatly expand sensing capabilities.
Multi-level Memory-augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection
Frame prediction based on AutoEncoder plays a significant role in unsupervised video anomaly detection.
Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder
To alleviate this issue, we propose a simple yet efficient framework for video anomaly detection.
Updated version: A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
To address this issue, we propose a framework of Appearance-Motion Semantics Representation Consistency that uses the gap of appearance and motion semantic representation consistency between normal and abnormal data.
Rate-Perception Optimized Preprocessing for Video Coding
In the past decades, lots of progress have been done in the video compression field including traditional video codec and learning-based video codec.
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
Firstly, we design a two-stream encoder to encode the appearance and motion information representations of normal samples and introduce constraints to further enhance the consistency of the feature semantics between appearance and motion information of normal samples so that abnormal samples with low consistency appearance and motion feature representation can be identified.
Ranked #1 on
Anomaly Detection
on CUHK Avenue
