Abstract: Existing unsupervised video anomaly detection methods based on prediction typically employ a memory module to limit the generalization ability of the network so that normal frames can be ...

Abstract: Human activity detection plays a vital role in applications such as healthcare monitoring, smart environments, and security surveillance. However, traditional methods often rely on ...

Training on video (w/o flow) . We load the weight pre-trained on the static image dataset, and use DAVIS and FBMS to train our framework. python finetune.py --model ...