CHEST loss combines proxy-based soft triple losses in hyperbolic and Euclidean spaces with hyperbolic hierarchical clustering regularization, improving deep metric learning accuracy and stability while achieving new state-of-the-art results on four benchmark datasets.
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Combined Hyperbolic and Euclidean Soft Triple Loss Beyond the Single Space Deep Metric Learning
CHEST loss combines proxy-based soft triple losses in hyperbolic and Euclidean spaces with hyperbolic hierarchical clustering regularization, improving deep metric learning accuracy and stability while achieving new state-of-the-art results on four benchmark datasets.