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[论文笔记]Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning
时间 2021-07-12
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2019iccv
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triplet loss
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Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning GitHub 一,概述 当前绝大部分使用the triplet loss的工作都做了一些隐含的假设,而这些假设限制了他们在实际用例中的性能,特别是当数据集比较细粒度,包含大量类的情况下。而本文确定了其中的三个假设,并提出了相应的方法
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1703.In Defense of the Triplet Loss for Person Re-Identification 论文阅读笔记
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ECCV 2018 《Triplet Loss in Siamese Network for Object Tracking》论文笔记
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[CVPR 2018 论文笔记] Preserving Semantic Relations for Zero-Shot Learning
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