Improved Few-Shot Visual Classification

Few-shot learning is a fundamental task in computer vision that carries the promise of alleviating the need for exhaustively labeled data. Most few-shot learning approaches to date have focused on progressively more complex neural feature extractors and classifier adaptation strategies, as well as t...

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Bibliographische Detailangaben

Hauptverfasser:	Bateni, Peyman, Goyal, Raghav, Masrani, Vaden, Wood, Frank, Sigal, Leonid
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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