Deep Metric Learning via Lifted Structured Feature Embedding

Learning the distance metric between pairs of examples is of great importance for learning and visual recognition. With the remarkable success from the state of the art convolutional neural networks, recent works [1, 31] have shown promising results on discriminatively training the networks to learn...

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Bibliographic Details
Main Authors: Song, Hyun Oh (Author), Xiang, Yu (Author), Savarese, Silvio (Author), Jegelka, Stefanie Sabrina (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2018-02-02T18:20:36Z.
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