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pro vyhledávání: '"Wenzel, Thomas"'
Object detection networks have reached an impressive performance level, yet a lack of suitable data in specific applications often limits it in practice. Typically, additional data sources are utilized to support the training task. In these, however,
Externí odkaz:
http://arxiv.org/abs/2208.14662
Autor:
Jin, Ling, Lazar, Alina, Brown, Caitlin, Sun, Bingrong, Garikapati, Venu, Ravulaparthy, Srinath, Chen, Qianmiao, Sim, Alexander, Wu, Kesheng, Ho, Tin, Wenzel, Thomas, Spurlock, C. Anna
What makes you hold on that old car? While the vast majority of the household vehicles are still powered by conventional internal combustion engines, the progress of adopting emerging vehicle technologies will critically depend on how soon the existi
Externí odkaz:
http://arxiv.org/abs/2205.06622
Publikováno v:
In Expert Systems With Applications 15 November 2024 254
Publikováno v:
In Computer Vision and Image Understanding December 2024 249
Autor:
Binder, Thomas, Marks, Michael A.W., Friedrichsen, Brian-Eric, Walter, Benjamin F., Wenzel, Thomas, Markl, Gregor
Publikováno v:
In LITHOS May 2024 472-473
Autor:
Runge, Armin, Wenzel, Thomas, Bariamis, Dimitrios, Staffler, Benedikt Sebastian, Drumond, Lucas Rego, Pfeiffer, Michael
The widespread use of Deep Learning (DL) applications in science and industry has created a large demand for efficient inference systems. This has resulted in a rapid increase of available Hardware Accelerators (HWAs) making comparison challenging an
Externí odkaz:
http://arxiv.org/abs/2008.10293