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

Topics: Deep Learning for Visual Understanding ; Document Imaging in Business; Early and Biologically-Inspired Vision; Features Extraction; Image Formation, Acquisition Devices and Sensors; Machine Learning Technologies for Vision; Object Detection and Localization; Vision for Robotics

Authors: Parmeet Singh 1 and Mae Seto 2

Affiliations: 1 Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia and Canada ; 2 Department of Mechanical Engineering, Dalhousie University, Halifax, Nova Scotia and Canada

Keyword(s): Convolution Neural Networks, Ensemble Learning, Marine Animals, VGG, Inception, Computer Vision, Bounding Boxes.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Document Imaging in Business ; Early and Biologically-Inspired Vision ; Features Extraction ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Pattern Recognition ; Robotics ; Software Engineering

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.

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Paper citation in several formats:
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; ISSN 2184-4321, SciTePress, pages 169-176. DOI: 10.5220/0007390201690176

@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},
issn={2184-4321},
}

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
IS - 2184-4321
AU - Singh, P.
AU - Seto, M.
PY - 2019
SP - 169
EP - 176
DO - 10.5220/0007390201690176
PB - SciTePress