One shot similarity metric learning for action recognition

Orit Kliper-Gross; Tal Hassner; Lior Wolf

doi:10.1007/978-3-642-24471-1_3

One shot similarity metric learning for action recognition

Orit Kliper-Gross, Tal Hassner, Lior Wolf

Computer Science discipline

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The One-Shot-Similarity (OSS) is a framework for classifier-based similarity functions. It is based on the use of background samples and was shown to excel in tasks ranging from face recognition to document analysis. However, we found that its performance depends on the ability to effectively learn the underlying classifiers, which in turn depends on the underlying metric. In this work we present a metric learning technique that is geared toward improved OSS performance. We test the proposed technique using the recently presented ASLAN action similarity labeling benchmark. Enhanced, state of the art performance is obtained, and the method compares favorably to leading similarity learning techniques.

Original language	English
Title of host publication	Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Proceedings
Pages	31-45
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-642-24471-1_3
State	Published - 2011
Event	1st International Workshop on Similarity-Based Pattern Recognition, SIMBAD 2011 - Venice, Italy Duration: 28 Sep 2011 → 30 Sep 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7005 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Workshop on Similarity-Based Pattern Recognition, SIMBAD 2011
Country/Territory	Italy
City	Venice
Period	28/09/11 → 30/09/11

Keywords

Action Similarity
Learned metrics
One-Shot-Similarity

Access to Document

10.1007/978-3-642-24471-1_3

Cite this

Kliper-Gross, O., Hassner, T., & Wolf, L. (2011). One shot similarity metric learning for action recognition. In Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Proceedings (pp. 31-45). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7005 LNCS). https://doi.org/10.1007/978-3-642-24471-1_3

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title = "One shot similarity metric learning for action recognition",

abstract = "The One-Shot-Similarity (OSS) is a framework for classifier-based similarity functions. It is based on the use of background samples and was shown to excel in tasks ranging from face recognition to document analysis. However, we found that its performance depends on the ability to effectively learn the underlying classifiers, which in turn depends on the underlying metric. In this work we present a metric learning technique that is geared toward improved OSS performance. We test the proposed technique using the recently presented ASLAN action similarity labeling benchmark. Enhanced, state of the art performance is obtained, and the method compares favorably to leading similarity learning techniques.",

keywords = "Action Similarity, Learned metrics, One-Shot-Similarity",

author = "Orit Kliper-Gross and Tal Hassner and Lior Wolf",

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doi = "10.1007/978-3-642-24471-1_3",

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Kliper-Gross, O, Hassner, T & Wolf, L 2011, One shot similarity metric learning for action recognition. in Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7005 LNCS, pp. 31-45, 1st International Workshop on Similarity-Based Pattern Recognition, SIMBAD 2011, Venice, Italy, 28/09/11. https://doi.org/10.1007/978-3-642-24471-1_3

One shot similarity metric learning for action recognition. / Kliper-Gross, Orit; Hassner, Tal; Wolf, Lior.
Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Proceedings. 2011. p. 31-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7005 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kliper-Gross O, Hassner T, Wolf L. One shot similarity metric learning for action recognition. In Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Proceedings. 2011. p. 31-45. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-24471-1_3

One shot similarity metric learning for action recognition

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