Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Varshneya, Saurabh"'
Autor:
Varshneya, Saurabh, Ledent, Antoine, Liznerski, Philipp, Balinskyy, Andriy, Mehta, Purvanshi, Mustafa, Waleed, Kloft, Marius
Conventional machine learning methods are predominantly designed to predict outcomes based on a single data type. However, practical applications may encompass data of diverse types, such as text, images, and audio. We introduce interpretable tensor
Externí odkaz:
http://arxiv.org/abs/2405.04671
Deep learning-based methods have achieved a breakthrough in image anomaly detection, but their complexity introduces a considerable challenge to understanding why an instance is predicted to be anomalous. We introduce a novel explanation method that
Externí odkaz:
http://arxiv.org/abs/2402.14469
Autor:
Varshneya, Saurabh, Ledent, Antoine, Vandermeulen, Robert A., Lei, Yunwen, Enders, Matthias, Borth, Damian, Kloft, Marius
We propose a novel training methodology -- Concept Group Learning (CGL) -- that encourages training of interpretable CNN filters by partitioning filters in each layer into concept groups, each of which is trained to learn a single visual concept. We
Externí odkaz:
http://arxiv.org/abs/2109.10078
Autor:
Hussong, Marco, Varshneya, Saurabh, Rüdiger-Flore, Patrick, Glatt, Moritz, Kloft, Marius, Aurich, Jan C.
Publikováno v:
In Procedia CIRP 2023 120:135-140
Autor:
Kölsch, Andreas, Mishra, Ashutosh, Varshneya, Saurabh, Afzal, Muhammad Zeshan, Liwicki, Marcus
Publikováno v:
16th International Conference on Frontiers in Handwriting Recognition 2018
This paper introduces a very challenging dataset of historic German documents and evaluates Fully Convolutional Neural Network (FCNN) based methods to locate handwritten annotations of any kind in these documents. The handwritten annotations can appe
Externí odkaz:
http://arxiv.org/abs/1804.00236
Autor:
Hussong, Marco, Glatt, Moritz, Rüdiger-Flore, Patrick, Varshneya, Saurabh, Liznerski, Philipp, Kloft, Marius, Aurich, Jan C.
Publikováno v:
ZWF Zeitschrift fur Wirtschaftlichen Fabrikbetrieb; Oct2021, Vol. 116 Issue 10, p648-651, 4p
Autor:
Yi, Li, Ehmsen, Svenja, Cassani, Marcelo, Glatt, Moritz, Varshneya, Saurabh, Liznerski, Philipp, Kloft, Marius, Silva, Eraldo J. da, Aurich, Jan C.
Publikováno v:
ZWF: Zeitschrift fuer den Wirtschaftlichen Fabrikbetrieb; December 2020, Vol. 115 Issue: 11 p810-813, 4p