CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention

arXiv:2404.18952v1 Announce Type: cross
Abstract: In this paper we introduce CUE-Net, a novel architecture designed for automated violence detection in video surveillance. As surveillance systems become more prevalent due to technological advances and decreasing costs, the challenge of efficiently monitoring vast amounts of video data has intensified. CUE-Net addresses this challenge by combining spatial Cropping with an enhanced version of the UniformerV2 architecture, integrating convolutional and self-attention mechanisms alongside a novel Modified Efficient Additive Attention mechanism (which reduces the quadratic …

abstract additive attention advances analytics architecture arxiv attention automated become challenge costs cs.ai cs.cv cs.lg data detection monitoring novel paper spatial surveillance systems type vast video video analytics video data video surveillance violence