Zobrazeno 1 - 10
of 8 934
pro vyhledávání: '"Ahmad, Muhammad"'
3D Swin Transformer (3D-ST) known for its hierarchical attention and window-based processing, excels in capturing intricate spatial relationships within images. Spatial-spectral Transformer (SST), meanwhile, specializes in modeling long-range depende
Externí odkaz:
http://arxiv.org/abs/2405.01095
Autor:
Ahmad, Muhammad, Distifano, Salvatore, Khan, Adil Mehmood, Mazzara, Manuel, Li, Chenyu, Yao, Jing, Li, Hao, Aryal, Jagannath, Vivone, Gemine, Hong, Danfeng
Hyperspectral Image Classification (HSC) is a challenging task due to the high dimensionality and complex nature of Hyperspectral (HS) data. Traditional Machine Learning approaches while effective, face challenges in real-world data due to varying op
Externí odkaz:
http://arxiv.org/abs/2404.14955
The traditional Transformer model encounters challenges with variable-length input sequences, particularly in Hyperspectral Image Classification (HSIC), leading to efficiency and scalability concerns. To overcome this, we propose a pyramid-based hier
Externí odkaz:
http://arxiv.org/abs/2404.14945
Disjoint sampling is critical for rigorous and unbiased evaluation of state-of-the-art (SOTA) models. When training, validation, and test sets overlap or share data, it introduces a bias that inflates performance metrics and prevents accurate assessm
Externí odkaz:
http://arxiv.org/abs/2404.14944
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Wang, Long, Yu, David, Parygin, Pavel, Dittmann, Jay, Karapostoli, Georgia, Seidel, Markus, Venditti, Rosamaria, Lambrecht, Luka, Usai, Emanuele, Ahmad, Muhammad, Menendez, Javier Fernandez, Maeshima, Kaori, Collaboration, the CMS-HCAL
The compact muon solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the large hadron collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle data acqui
Externí odkaz:
http://arxiv.org/abs/2311.04190
Flow based garment warping is an integral part of image-based virtual try-on networks. However, optimizing a single flow predicting network for simultaneous global boundary alignment and local texture preservation results in sub-optimal flow fields.
Externí odkaz:
http://arxiv.org/abs/2311.04932
Large language models have proliferated across multiple domains in as short period of time. There is however hesitation in the medical and healthcare domain towards their adoption because of issues like factuality, coherence, and hallucinations. Give
Externí odkaz:
http://arxiv.org/abs/2311.01463
Publikováno v:
International Marketing Review, 2024, Vol. 41, Issue 3/4, pp. 827-846.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMR-04-2022-0103
Publikováno v:
Personnel Review, 2023, Vol. 53, Issue 4, pp. 944-964.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PR-12-2022-0869
This paper deals with the Boolean-based analysis of a prominent class of non-repairable coherent multistate systems with independent nonidentical multistate components. This class of systems is represented by a multistate coherent truly threshold sys
Externí odkaz:
http://arxiv.org/abs/2308.03771