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RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.

L. Karlinsky, J. Shtok, S. Harary, E. Schwartz, A. Aides, R. Feris, R. Giryes, and A. Bronstein. CVPR, page 5197-5206. Computer Vision Foundation / IEEE, (2019)

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Leonid Rothe

Leonid Bock

Leonid Mytnik

Leonid Tzibrouk

Leonid Mindel

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Self-Specialization: Uncovering Latent Expertise within Large Language Models.J. Kang, H. Luo, Y. Zhu, J. Glass, D. Cox, A. Ritter, R. Feris, and L. Karlinsky. CoRR, (2023)Domain specific convolutional neural nets for detection of architectural distortion in mammograms.R. Ben-Ari, A. Akselrod-Ballin, L. Karlinsky, and S. Hashoul. ISBI, page 552-556. IEEE, (2017)Delta-encoder: an effective sample synthesis method for few-shot object recognition.E. Schwartz, L. Karlinsky, J. Shtok, S. Harary, M. Marder, A. Kumar, R. Feris, R. Giryes, and A. Bronstein. NeurIPS, page 2850-2860. (2018)A Broader Study of Cross-Domain Few-Shot Learning.Y. Guo, N. Codella, L. Karlinsky, J. Codella, J. Smith, K. Saenko, T. Rosing, and R. Feris. ECCV (27), volume 12372 of Lecture Notes in Computer Science, page 124-141. Springer, (2020)Joint Audio and Speech Understanding.Y. Gong, A. Liu, H. Luo, L. Karlinsky, and J. Glass. ASRU, page 1-8. IEEE, (2023)A Broad Study on the Transferability of Visual Representations with Contrastive Learning.A. Islam, C. Chen, R. Panda, L. Karlinsky, R. Radke, and R. Feris. ICCV, page 8825-8835. IEEE, (2021)MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge.W. Lin, L. Karlinsky, N. Shvetsova, H. Possegger, M. Kozinski, R. Panda, R. Feris, H. Kuehne, and H. Bischof. ICCV, page 2839-2850. IEEE, (2023)Fine-Grained Angular Contrastive Learning With Coarse Labels.G. Bukchin, E. Schwartz, K. Saenko, O. Shahar, R. Feris, R. Giryes, and L. Karlinsky. CVPR, page 8730-8740. Computer Vision Foundation / IEEE, (2021)LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning.A. Alfassy, L. Karlinsky, A. Aides, J. Shtok, S. Harary, R. Feris, R. Giryes, and A. Bronstein. CVPR, page 6548-6557. Computer Vision Foundation / IEEE, (2019)CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.Z. He, L. Karlinsky, D. Kim, J. McAuley, D. Krotov, and R. Feris. CoRR, (2024)

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Disambiguation of "Karlinsky, Leonid"

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RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.

Please choose a person to relate this publication to

Leonid Rothe

Leonid Bock

Leonid Mytnik

Leonid Tzibrouk

Leonid Mindel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Karlinsky, Leonid"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.

Please choose a person to relate this publication to

Leonid Rothe

Leonid Bock

Leonid Mytnik

Leonid Tzibrouk

Leonid Mindel

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.