2020
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification
NeurIPS 2020poster
Triplet loss with batch hard mining (TriHard loss) is an important variation of triplet loss inspired by the idea that hard triplets improve the performance of metric leaning networks. However, there is a dilemma in the training process. The hard negative samples contain various quite similar charac…