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pro vyhledávání: '"Subramanian, Venkatesh K"'
Surveillance and surveying are two important applications of empirical research. A major part of terrain modelling is supported by photographic surveys which are used for capturing expansive natural surfaces using a wide range of sensors -- visual, i
Externí odkaz:
http://arxiv.org/abs/2305.08113
Adaptation of a classifier to new domains is one of the challenging problems in machine learning. This has been addressed using many deep and non-deep learning based methods. Among the methodologies used, that of adversarial learning is widely applie
Externí odkaz:
http://arxiv.org/abs/2107.04231
Unsupervised Domain adaptation methods solve the adaptation problem for an unlabeled target set, assuming that the source dataset is available with all labels. However, the availability of actual source samples is not always possible in practical cas
Externí odkaz:
http://arxiv.org/abs/2102.09003
Publikováno v:
WACV 2021
One of the major limitations of deep learning models is that they face catastrophic forgetting in an incremental learning scenario. There have been several approaches proposed to tackle the problem of incremental learning. Most of these methods are b
Externí odkaz:
http://arxiv.org/abs/2102.01906
Publikováno v:
In Image and Vision Computing September 2023 137
Domain adaptation is essential to enable wide usage of deep learning based networks trained using large labeled datasets. Adversarial learning based techniques have shown their utility towards solving this problem using a discriminator that ensures s
Externí odkaz:
http://arxiv.org/abs/1907.10628
Publikováno v:
In Neurocomputing 7 October 2021 457:168-181
Publikováno v:
In Image and Vision Computing July 2021 111
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