Bridging Domains with Transfer Learning: Strategies for Multi-Task and Multi-Dataset Finetuning

<p id="p2">The chapter explores the innovative integration of transfer learning with multi-dataset and multi-task fine-tuning to build versatile, resource-efficient models for computer vision-related tasks. It delves into the paradigm shift from traditional single-task training, where models are opt...

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Detalles Bibliográficos

Autores principales:	Ullah, Tehseen, Davy, Steven, Kelleher, John
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2025
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/1227166
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