Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Bakker, Erwin M."'
Autor:
Drougkas, Georgios1 (AUTHOR), Bakker, Erwin M.1 (AUTHOR), Spruit, Marco1,2 (AUTHOR) m.r.spruit@lumc.nl
Publikováno v:
BMC Medical Informatics & Decision Making. 11/22/2024, Vol. 24 Issue 1, p1-20. 20p.
Accurately matching visual and textual data in cross-modal retrieval has been widely studied in the multimedia community. To address these challenges posited by the heterogeneity gap and the semantic gap, we propose integrating Shannon information th
Externí odkaz:
http://arxiv.org/abs/2104.04991
Person ReID methods always learn through a stationary domain that is fixed by the choice of a given dataset. In many contexts (e.g., lifelong learning), those methods are ineffective because the domain is continually changing in which case incrementa
Externí odkaz:
http://arxiv.org/abs/2103.12462
Due to its effectivity and efficiency, deep hashing approaches are widely used for large-scale visual search. However, it is still challenging to produce compact and discriminative hash codes for images associated with multiple semantics for two main
Externí odkaz:
http://arxiv.org/abs/2012.03820
In this paper, we consider the problem of fine-grained image retrieval in an incremental setting, when new categories are added over time. On the one hand, repeatedly training the representation on the extended dataset is time-consuming. On the other
Externí odkaz:
http://arxiv.org/abs/2010.08020
Visible-infrared person re-identification (VI-ReID) is a challenging and essential task in night-time intelligent surveillance systems. Except for the intra-modality variance that RGB-RGB person re-identification mainly overcomes, VI-ReID suffers fro
Externí odkaz:
http://arxiv.org/abs/2008.02520
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Publikováno v:
In Neurocomputing 28 April 2022 483:87-104
Publikováno v:
In Knowledge-Based Systems 5 March 2022 239
Publikováno v:
In Neurocomputing 7 January 2022 467:138-162