Tasks like SAR ship classification suffer in deep learning due to data scarcity and class imbalance. To overcome these challenges, techniques like fine-tuning and data merging can play a vital role in the performance of a deep learning model. This study evaluates the effect of fine tuning on 5 different deep learning models.

Evaluating the Impact of fine-tuning on deep learning models for SAR ship classification

Awais Ch Muhammad
;
Reggiannini M.
2024

Abstract

Tasks like SAR ship classification suffer in deep learning due to data scarcity and class imbalance. To overcome these challenges, techniques like fine-tuning and data merging can play a vital role in the performance of a deep learning model. This study evaluates the effect of fine tuning on 5 different deep learning models.
2024
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Ship Classification, SAR, Fine Tuning, Transfer Learning
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Descrizione: Evaluating the Impact ofFine-tuning on Deep Leaming Models for SAR Ship Classification
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/517635
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