Evaluation of Transfer Learning Techniques for Classification and Localization of Marine Animals

Parmeet Singh, Mae Seto

2019

Abstract

The objective is to evaluate methods for simultaneous classification and localization towards a better size estimate of marine animals in still images. Marine animals in such images vary in orientations and size. It is challenging to create a bounding box that predicts the shape of the object. We compare axis-aligned and rotatable bounding box techniques for size estimation.

Paper Citation

in Harvard Style

Singh P. and Seto M. (2019). Evaluation of Transfer Learning Techniques for Classification and Localization of Marine Animals. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 169-176. DOI: 10.5220/0007390201690176

in Bibtex Style

@conference{visapp19,
author={Parmeet Singh and Mae Seto},
title={Evaluation of Transfer Learning Techniques for Classification and Localization of Marine Animals},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007390201690176},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - Evaluation of Transfer Learning Techniques for Classification and Localization of Marine Animals
SN - 978-989-758-354-4
AU - Singh P.
AU - Seto M.
PY - 2019
SP - 169
EP - 176
DO - 10.5220/0007390201690176
PB - SciTePress