Learning Finer-class Networks for Universal Representations

4 Oct 2018Julien GirardYoussef TamaazoustiHervé Le BorgneCéline Hudelot

Many real-world visual recognition use-cases can not directly benefit from state-of-the-art CNN-based approaches because of the lack of many annotated data. The usual approach to deal with this is to transfer a representation pre-learned on a large annotated source-task onto a target-task of interest... (read more)

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