Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Saini, Rajat"'
Autor:
Kong, Quan, Kawana, Yuki, Saini, Rajat, Kumar, Ashutosh, Pan, Jingjing, Gu, Ta, Ozao, Yohei, Opra, Balazs, Anastasiu, David C., Sato, Yoichi, Kobori, Norimasa
In this paper, we address the challenge of fine-grained video event understanding in traffic scenarios, vital for autonomous driving and safety. Traditional datasets focus on driver or vehicle behavior, often neglecting pedestrian perspectives. To fi
Externí odkaz:
http://arxiv.org/abs/2407.15350
Autor:
Tiwari, Anoop Kumar1 (AUTHOR), Saini, Rajat2 (AUTHOR) afcatrajat@gmail.com, Nath, Abhigyan3 (AUTHOR), Singh, Phool4 (AUTHOR), Shah, Mohd Asif5,6,7 (AUTHOR) drmohdasifshah@kdu.edu.et
Publikováno v:
Scientific Reports. 3/15/2024, Vol. 14 Issue 1, p1-21. 21p.
Knowledge distillation (KD) is generally considered as a technique for performing model compression and learned-label smoothing. However, in this paper, we study and investigate the KD approach from a new perspective: we study its efficacy in trainin
Externí odkaz:
http://arxiv.org/abs/2006.16589
Publikováno v:
VLSID (2020) 155-160
The number of groups ($g$) in group convolution (GConv) is selected to boost the predictive performance of deep neural networks (DNNs) in a compute and parameter efficient manner. However, we show that naive selection of $g$ in GConv creates an imbal
Externí odkaz:
http://arxiv.org/abs/2006.15100
Publikováno v:
WACV (2020) 1627-1636
The capability of the self-attention mechanism to model the long-range dependencies has catapulted its deployment in vision models. Unlike convolution operators, self-attention offers infinite receptive field and enables compute-efficient modeling of
Externí odkaz:
http://arxiv.org/abs/2006.15102
Autor:
Navale, Govinda R., Rana, Aman, Saini, Saakshi, Singh, Sain, Saini, Rajat, Chaudhary, Virendra Kumar, Roy, Partha, Ghosh, Kaushik
Publikováno v:
In Journal of Photochemistry & Photobiology, A: Chemistry 1 July 2023 441
Akademický článek
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Akademický článek
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An Effective Internet of Things based Assessment of ANN and ANFIS algorithms for Cardiac Arrhythmia.
Autor:
K., Madhura, K. S., Asha, Thomas, Mary Christeena, Bhalla, Anubhav, Saini, Rajat, Sameen, Aws Zuhair
Publikováno v:
Journal of Intelligent Systems & Internet of Things; 2024, Vol. 13 Issue 1, p99-110, 12p
Publikováno v:
In Journal of Molecular Liquids March 2017 229:417-423