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2020 25th International Conference on Pattern Recognition (ICPR) by Memmesheimer, Raphael (author);Theisen, Nick (author);Paulus, Dietrich (author) is a nonfiction available to read on EtoBox.

What is 2020 25th International Conference on Pattern Recognition (ICPR) about?

Recognizing an activity with a single reference sample using metric learning approaches is a promising research field. The majority of few-shot methods focus on object recognition or face-identification. We propose a metric learning approach to reduce the action recognition problem to a nearest neighbor search in embedding space. We encode signals into images and extract features using a deep residual CNN. Using triplet loss, we learn a feature embedding. The resulting encoder transforms features into an embedding space in which closer distances encode similar actions while higher distances encode different actions. Our approach is based on a signal level formulation and remains flexible across a variety of modalities. It further outperforms the baseline on the large scale NTU RGB+D 120 dataset for the one-shot action recognition protocol by 5.6%. With just 60% of the training data, our approach still outperforms the baseline approach by 3.7%. With 40% of the training data, our approach performs comparably well to the second follow up. Further, we show that our approach generalizes well in experiments on the UTD-MHAD dataset for inertial, skeleton and fused data and the Simitate da

Who reads 2020 25th International Conference on Pattern Recognition (ICPR)?

Author

Memmesheimer, Raphael (author);Theisen, Nick (author);Paulus, Dietrich (author)

Publisher

IEEE

Published

2021

Language

EN

Category

nonfiction