Image Feature Extraction for Similarity Searching Using Transfer Learning with ResNet

This study evaluates the use of feature extraction with a pre-trained ResNet50 model for similarity search tasks. We employed transfer learning from both initial and intermediate layers of ResNet50 and applied a robust preprocessing approach, including resizing and Gaussian blur, to optimize feature...

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Detalles Bibliográficos
Autores principales: Pascal, Andrés, Planas, Adrián, Vidal, Zoe Florencia, Bonti, Agustina, Tonelotto, Lucas, Castiglioni, León
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2024
Materias:
Ciencias Informáticas
Image Similarity Search
Feature Extraction
CNNs
Transfer Learning
Logos
Paintings
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/176283
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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