Long-Tailed Recognition Using Class-Balanced Experts and Diverse Ensembles

Sharma, S.

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Long-Tailed Recognition Using Class-Balanced Experts and Diverse Ensembles

Sharma, S. (2020). Long-Tailed Recognition Using Class-Balanced Experts and Diverse Ensembles. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-B42A-F Version Permalink: https://hdl.handle.net/21.11116/0000-0007-B438-F

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Master Thesis Saurabh Sharma.pdf (Any fulltext), 35MB

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Sharma, S.¹, Author

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1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547

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Language(s): eng - English

Dates: Accepted: 2020Date issued: 2020

Publication Status: Issued

Pages: 81 p.

Publishing info: Saarbrücken : Universität des Saarlandes

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Identifiers: BibTex Citekey: SharmaMaster2020

Degree: Master

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