Bio-Inspired Fine-Tuning for Selective Transfer Learning in Image Classification

Deep learning has significantly advanced image analysis across diverse domains but often depends on large, annotated datasets for success. Transfer learning addresses this challenge by utilizing pre-trained models to tackle new tasks with limited labeled data. However, discrepancies between source a...

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Bibliographic Details
Main Authors: Ana Davila, Jacinto Colan, Yasuhisa Hasegawa
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11075778/
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