A project from NASA to study the Antarctic found strange radio waves that could not be traced back to an obvious source. Though that project took place between 2016 and 2018, still today the radio ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...

All the Latest Game Footage and Images from Anomaly Evolution Are you ready to uncover SCP-682’s ultimate form? In Anomaly Evolution, evolve SCP-682, SCP-1471, and SCP-999 from mere anomalies into ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

The South Atlantic Anomaly, a huge weak spot in the geomagnetic field off South America, has expanded and sprouted a lobe in the direction of Africa over the past decade. When you purchase through ...

Abstract: Video anomaly detection (VAD) is of great importance for a variety of real-time applications in video surveillance. Most deep learning-based anomaly detection algorithms adopt a one-class ...

Abstract: We propose a self-supervised framework that combines an autoencoder and segmentation model to enhance anomaly detection and segmentation by inserting synthetic anomalies into the foreground ...