Deep object detection models have made significant strides, but the need for large training datasets…
This study explores the challenge of acquiring large amounts of training data for deep object…
This research aims to see if it can improve computer-based anomaly detection systems for contraband…
This study introduces a new dataset and pipeline for tracking cyclists to address the increasing…
This research aims to evaluate the effectiveness of a machine learning architecture for object detection,…
Traffic analysis is currently a laborious task performed manually by human experts. Object detection models…
In this paper, we explore the effect of domain adaptation and catastrophic forgetting in conjunction…
In this paper, we explore the effect of domain adaptation and catastrophic forgetting in conjunction…
Traffic analysis is currently a laborious task performed manually by human experts. Object detection models…
Picking apples is a highly repetitive task that can be automized using AI. In these…
