本文首次撰稿于2022年5月9日，旨在记录一些关于深度无监督哈希学习中的心得笔记。 本文部分内容及文章排列顺序参考综述A Survey on Deep Hashing Met...
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深度无监督哈希（Deep Unsupervised hashing）
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Deep Representation Learning with Part Loss for Person Re-Identification
Deep Representation Learning with Part Loss for Person Re-Identification(Part loss)(PDF...
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L2-constrained Softmax Loss for Discriminative Face VerificationL2-constrained Softmax Loss for Discriminative Face Verification(PDF)[https://arxiv.org...
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Deep Metric Learning for Practical Person Re-IdentificationDeep Metric Learning for Practical Person Re-Identifification(PDF)[https://arxiv.org/pd...
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Multi-Similarity Loss with General Pair Weighting for Deep Metric LearningMulti-Similarity Loss with General Pair Weighting for Deep Metric Learning(PDF)[https:/...
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Deep Metric Learning via Lifted Structured Feature EmbeddingDeep Metric Learning via Lifted Structured Feature Embedding(PDF)[https://arxiv.org/pdf...
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Beyond triplet loss: a deep quadruplet network for person re-identification(quadruplet loss）Beyond triplet loss: a deep quadruplet network for person re-identification(quadruplet ...
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Deep Metric Learning Using Triplet NetworkDeep Metric Learning Using Triplet Network(PDF)[https://arxiv.org/pdf/1412.6622.pdf] Au...
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深度度量学习(Deep metric learning)本文首次撰稿于2021年8月23日，旨在记录一些关于深度度量学习中的心得笔记，仅供个人参考使用。 如文中有误，请予以批评指正！ 距离度量公式/相似度指标： 1.欧几里得距离/...
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如何简单的理解LSTM——其实没有那么复杂译自原文:Understanding LSTM Networks 循环神经网络 人类针对每个问题的思考，一般不会是完全的从头开始思考。正如当你阅读这篇译文的时候，你会根据已经...
