Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks

Margarita Zaleshina, Alexander Zaleshin

2024

Abstract

Spatial data recognition, navigation based on localized visual clues and ability to identify significant elements in the environment and build routes is formed as a result of general spatial learning and then adjusted to a specific location. Modern artificial intelligence (AI) — from visual processing applications to autonomous vehicles—also includes this capability. However, excessive learning can lead to overfitting, which significantly reduces the efficiency of spatial actions. In this work we describe typical algorithms for navigation, spatial learning in pigeon flights, and remote sensing recognition in neural networks. We consider learning algorithms based on significant topological elements, and suggest possible methods to expand learning opportunities and reduce the impact of erroneous settings. Our calculation results show how overfitting affects navigation behaviour and visual recognition. Result of this work provides direction for the future development of new algorithms that optimize the efficiency of spatial learning.

Paper Citation

in Harvard Style

Zaleshina M. and Zaleshin A. (2024). Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks. In Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: NCTA; ISBN 978-989-758-721-4, SciTePress, pages 576-583. DOI: 10.5220/0013001100003837

in Bibtex Style

@conference{ncta24,
author={Margarita Zaleshina and Alexander Zaleshin},
title={Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks},
booktitle={Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: NCTA},
year={2024},
pages={576-583},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013001100003837},
isbn={978-989-758-721-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: NCTA
TI - Spatial Learning and Overfitting in Visual Recognition and Route Planning Tasks
SN - 978-989-758-721-4
AU - Zaleshina M.
AU - Zaleshin A.
PY - 2024
SP - 576
EP - 583
DO - 10.5220/0013001100003837
PB - SciTePress