Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data

1 Aug 2018Carola Figueroa FloresAbel Gonzalez-GarcíaJoost van de WeijerBogdan Raducanu

This paper investigates the role of saliency to improve the classification accuracy of a Convolutional Neural Network (CNN) for the case when scarce training data is available. Our approach consists in adding a saliency branch to an existing CNN architecture which is used to modulate the standard bottom-up visual features from the original image input, acting as an attentional mechanism that guides the feature extraction process... (read more)

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