Active learning at the imagenet scale
Active learning (AL) algorithms aim to identify an optimal subset of data for annotation, such
that deep neural networks (DNN) can achieve better performance when trained on this …
that deep neural networks (DNN) can achieve better performance when trained on this …
Best practices in pool-based active learning for image classification
The recent popularity of active learning (AL) methods for image classification using deep-
learning has led to a large number of publications that lead to significant progress in the …
learning has led to a large number of publications that lead to significant progress in the …
An obstacle detection system for automated guided vehicles
E Vähä - 2023 - osuva.uwasa.fi
The objective of this master's thesis is to investigate the utilization of computer vision and
object detection as an integral part of an automated guided vehicle's navigation system …
object detection as an integral part of an automated guided vehicle's navigation system …
Leveraging Transfer Learning Techniques for Transportation Infrastructure Image Classification: A Python-Based Approach with Xception Network
E Rukundo - Available at SSRN 4604205 - papers.ssrn.com
This article introduces transfer learning techniques using Python and the corresponding
libraries, focusing on transportation infrastructure image classification using the Keras …
libraries, focusing on transportation infrastructure image classification using the Keras …