How Quality Affects Deep Neural Networks in Fine-Grained Image Classification

In this paper, we propose a No-Reference Image Quality Assessment (NRIQA) guided cut-off point selection (CPS) strategy to enhance the performance of a fine-grained classification system. Scores given by existing NRIQA methods on the same image may vary and not be as independent of natural image aug...

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Bibliographische Detailangaben

Hauptverfasser:	Smith, Joseph, Zuo, Zheming, Stonehouse, Jonathan, Obara, Boguslaw
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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