Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories
Christoffer Löffler,Luca Reeb,Daniel Dzibela,Robert Marzilger,Nicolas Witt,Björn M. Eskofier,Christopher Mutschler +6 more
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This article is published in ACM Transactions on Intelligent Systems and Technology.The article was published on 2022-02-28 and is currently open access. It has received 2 citations till now. The article focuses on the topics: Metric (mathematics).read more
Citations
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Knowledge transfer based hierarchical few-shot learning via tree-structured knowledge graph
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Active Learning of Ordinal Embeddings: A User Study on Football Data
Christoffer Löffler,Kion Fallah,Stefano Fenu,Dario Zanca,Bjoern M. Eskofier,Christopher J. Rozell,Christopher Mutschler +6 more
TL;DR: This work adapts an entropy-based active learning method with recent work from triplet mining to collect easy-to-answer but still informative annotations from human participants and use them to train a deep convolutional network that generalizes to unseen samples.
References
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