In this paper, we propose SwinAnomaly, a video anomaly detection approach based on a conditional GAN-based autoencoder with feature extractors based on Swin Transformers. Our approach encodes ...

Autoencoder-based anomaly detection for sensor data using MATLAB - aloytyno/Autoencoder-based-anomaly-detection-for-sensor-data. ... Autoencoders are based on neural networks, and the network consists ...

The company will also preview its Pro Convert Xmit AIO, the first member of the Xmit family, at Infocomm. The streaming encoder/decoder is a standalone device that converts one channel of SDI or HDMI ...

[Jeong2023] WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation in CVPR, 2023. [Chen2024] CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection in Arxiv, 2024. ...