Calibrated neighborhood aware confidence measure for deep metric learning

Deep metric learning has gained promising improvement in recent years following the success of deep learning. It has been successfully applied to problems in few-shot learning, image retrieval, and open-set classifications... (read more)

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Datasets


Results from the Paper


 Ranked #1 on Metric Learning on CUB-200-2011 (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT BENCHMARK
Metric Learning CARS196 NED R@1 91.5 # 1
Metric Learning CUB-200-2011 NED R@1 74.9 # 1
Metric Learning In-Shop NED R@1 91.3 # 1
Metric Learning SOP NED R@1 81.2 # 1

Methods used in the Paper


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