Document image binarization is the transformation of a grey-scale or colour image into a binary form, distinguishing foreground pixels (text or graphics) from background. Traditional approaches rely ...
Abstract: Convolutional neural networks (CNNs) have previously been broadly utilized to binarize document images. These methods have problems when faced with degraded historical documents. This paper ...
Towards Video Anomaly Detection in the Real World: A Binarization Embedded Weakly-Supervised Network
Abstract: In this letter, we pioneer to propose a binarization embedded weakly-supervised video anomaly detection (BE-WSVAD) method by constructing a binarized GCN-based anomaly detection module.
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