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pro vyhledávání: '"Rajabi, Mohammad Javad"'
Self-supervised pretraining methods with masked prediction demonstrate remarkable within-dataset performance in skeleton-based action recognition. However, we show that, unlike contrastive learning approaches, they do not produce well-separated clust
Externí odkaz:
http://arxiv.org/abs/2407.10935
Visual place recognition tasks often encounter significant challenges in landmark detection due to the presence of irrelevant objects such as humans, cars, and trees, despite the remarkable progress achieved by previous models, especially in the cont
Externí odkaz:
http://arxiv.org/abs/2308.13671
Deep learning models have demonstrated remarkable capabilities in learning complex patterns and concepts from training data. However, recent findings indicate that these models tend to rely heavily on simple and easily discernible features present in
Externí odkaz:
http://arxiv.org/abs/2307.01473
Publikováno v:
In Journal of Constructional Steel Research December 2016 127:204-220
Publikováno v:
International Journal of Biosciences (IJB). 3:20-27
Publikováno v:
Iranian Journal of Pathology; Spring2019, Vol. 14 Issue 2, p175-179, 5p
Akademický článek
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Autor:
Karamizadeh, Sasan, Abdullah, Shahidan M., Halimi, Mehran, Shayan, Jafar, Rajabi, Mohammad javad
Publikováno v:
2014 International Conference on Computer, Communications & Control Technology (I4CT); 2014, p63-65, 3p
Autor:
Salehipour, Mehdi, Geramizadeh, Bita, Azizi, Valiallah, Rajabi, Mohammad Javad, Boub, Roshanak
Publikováno v:
Saudi Journal of Kidney Diseases & Transplantation; Oct-Dec2006, Vol. 17 Issue 4, p576-577, 2p