Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Runxuan Si"'
Publikováno v:
Sensors, Vol 21, Iss 15, p 5113 (2021)
One-shot person Re-identification, which owns one labeled sample among numerous unlabeled data for each identity, is proposed to tackle the problem of the shortage of labeled data. Considering the scenarios without sufficient labeled data, it is very
Externí odkaz:
https://doaj.org/article/ea051cb3048f403aaa2248aa447444f2
Autor:
David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jager, Tim Adler, Jens Petersen, Gregor Kohler, Tobias Ross, Annika Reinke, Antanas Kascenas, Bjorn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus Maier-Hein
Detecting Out-of-Distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the algorithms encounter cases that deviate from the distribution of the training data, they oft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bd09f323a99e76832914cf9e01598d2
http://hdl.handle.net/10044/1/96881
http://hdl.handle.net/10044/1/96881
Publikováno v:
Sensors
Volume 21
Issue 15
Sensors, Vol 21, Iss 5113, p 5113 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 15
Sensors, Vol 21, Iss 5113, p 5113 (2021)
Sensors (Basel, Switzerland)
One-shot person Re-identification, which owns one labeled sample among numerous unlabeled data for each identity, is proposed to tackle the problem of the shortage of labeled data. Considering the scenarios without sufficient labeled data, it is very
Publikováno v:
Neural Information Processing ISBN: 9783030922726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f1c201dfee3b45a4a3b2246eddba5bd
https://doi.org/10.1007/978-3-030-92273-3_10
https://doi.org/10.1007/978-3-030-92273-3_10