Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...
IEEE

Rapid Object Modeling Initialization for Vector Quantized-Variational AutoEncoder

Abstract: This paper presents a novel approach for codebook initialization in the well-established Vector Quantized-Variational AutoEncoder (VQ-VAE). Rapid Object Modeling (ROM), inspired by few-shot ...
IEEE

Fault Detection Method for Power Conversion Circuits Using Thermal Image and Convolutional Autoencoder

A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a commercial power ...