Deep Metric Learning to Rank

CVPR 2019 Fatih Cakir Kun He Xide Xia Brian Kulis Stan Sclaroff

We propose a novel deep metric learning method by revisiting the learning to rank approach. Our method, named FastAP, optimizes the rank-based Average Precision measure, using an approximation derived from distance quantization... (read more)

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