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 basics Autoencoders are based on neural networks, and the network consists of two parts: an encoder and a decoder. Encoder compresses the N-dimensional input (e.g. a frame of sensor data) ...

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 ...

A curated list of anomaly detection with large language model, visual large model and graph foundation model papers & resources - mala-lab/Awesome-Anomaly-Detection-Foundation-Models ...