The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Models
This study explores the challenge of acquiring large amounts of training data for deep object…
This study explores the challenge of acquiring large amounts of training data for deep object…
This research proposes the use of SNNs integrated with X-ray scans to enhance Anomaly Detection.…
This study introduces a new dataset and pipeline for tracking cyclists to address the increasing…
This paper focuses on automatic identification of defective roofs and window casings using anomaly detection.…
In prisons, X-ray scanners are often used to find illegal items, and anomaly detection algorithms…
With new regulations around unmanned aerial vehicles (UAV) use in the European Union, the drone…
In this paper, we explore the effect of domain adaptation and catastrophic forgetting in conjunction…
Controlling potato plant diseases is crucial in agriculture because diseased plants can result in a…
The inspection of ship-board structures by humans is a time-consuming and expensive activity, creating the…
Object detection using CNNs requires a large amount of data to achieve decent performance in…