Strategic Incorporation of Synthetic Data for Performance Enhancement in Deep Learning: A Case Study on Object Tracking Tasks

The paper "Strategic Incorporation of Synthetic Data for Performance Enhancement in Deep Learning: A Case Study on Object Tracking Tasks" by Jatin Katyal and Charalambos Poullis has been accepted for publication in the 18th International Symposium on Visual Computing (ISVC), 2023.

TL;DR: Obtaining training data for machine learning models can be challenging. Capturing or gathering the data, followed by its manual labelling, is an expensive and time-consuming process. In cases where there are no publicly accessible datasets, this can significantly hinder progress. In this paper, we analyze the similarity between synthetic and real data.