Learning Non-Metric Visual Similarity for Image Retrieval

ICLR 2018 Noa GarciaGeorge Vogiatzis

Measuring visual similarity between two or more instances within a data distribution is a fundamental task in image retrieval. Theoretically, non-metric distances are able to generate a more complex and accurate similarity model than metric distances, provided that the non-linear data distribution is precisely captured by the system... (read more)

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