Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nina Shvetsova"'
Publikováno v:
IEEE Access, Vol 9, Pp 118571-118583 (2021)
Anomaly detection is the problem of recognizing abnormal inputs based on the seen examples of normal data. Despite recent advances of deep learning in recognizing image anomalies, these methods still prove incapable of handling complex images, such a
Externí odkaz:
https://doaj.org/article/da7f43a5a63a400aa4b61e275b9617a4
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
Autor:
Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogerio Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James Glass
Multilingual text-video retrieval methods have improved significantly in recent years, but the performance for other languages lags behind English. We propose a Cross-Lingual Cross-Modal Knowledge Distillation method to improve multilingual text-vide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e9221132f9b7c09a4f9a64bf4baa19
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031167874
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::211e0aaa8e2354802d4276228f3803f0
https://doi.org/10.1007/978-3-031-16788-1_6
https://doi.org/10.1007/978-3-031-16788-1_6
Autor:
Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Hilde Kuehne
Multi-modal learning from video data has seen increased attention recently as it allows to train semantically meaningful embeddings without human annotation enabling tasks like zero-shot retrieval and classification. In this work, we present a multi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fba61791fda0c6282401fe03b281bcb5
Publikováno v:
IEEE Access, Vol 9, Pp 118571-118583 (2021)
Anomaly detection is the problem of recognizing abnormal inputs based on the seen examples of normal data. Despite recent advances of deep learning in recognizing image anomalies, these methods still prove incapable of handling complex medical images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68b601987a9b6fc5adf2b1be1ec49fab