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[HTML][HTML] Applying self-supervised learning to medicine: review of the state of the art and medical implementations
A Chowdhury, J Rosenthal, J Waring, R Umeton - Informatics, 2021 - mdpi.com
Machine learning has become an increasingly ubiquitous technology, as big data continues
to inform and influence everyday life and decision-making. Currently, in medicine and …
to inform and influence everyday life and decision-making. Currently, in medicine and …
Joint discriminative and generative learning for person re-identification
Person re-identification (re-id) remains challenging due to significant intra-class variations
across different cameras. Recently, there has been a growing interest in using generative …
across different cameras. Recently, there has been a growing interest in using generative …
Invariance matters: Exemplar memory for domain adaptive person re-identification
This paper considers the domain adaptive person re-identification (re-ID) problem: learning
a re-ID model from a labeled source domain and an unlabeled target domain. Conventional …
a re-ID model from a labeled source domain and an unlabeled target domain. Conventional …
University-1652: A multi-view multi-source benchmark for drone-based geo-localization
We consider the problem of cross-view geo-localization. The primary challenge is to learn
the robust feature against large viewpoint changes. Existing benchmarks can help, but are …
the robust feature against large viewpoint changes. Existing benchmarks can help, but are …