A quadruplet selection heuristic that pairs very hard negatives with relatively easy positives from matching hierarchical classes boosts embedding performance on fine-grained datasets.
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Quadruplet Selection Methods for Deep Embedding Learning
A quadruplet selection heuristic that pairs very hard negatives with relatively easy positives from matching hierarchical classes boosts embedding performance on fine-grained datasets.