Zobrazeno 1 - 10
of 16 534
pro vyhledávání: '"attention modules"'
Publikováno v:
Engineering Reports, Vol 6, Iss 11, Pp n/a-n/a (2024)
Abstract Large fingerprint databases can make the automated search process tedious and time‐consuming. Fingerprint pattern classification is a significant step in the identification system's complexity in terms of time and speed. Although several f
Externí odkaz:
https://doaj.org/article/78bda500032c49f882242bcf79f5dac2
Akademický článek
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Autor:
Chen, Xiangyu, Liu, Jing, Wang, Ye, Wang, Pu Perry, Brand, Matthew, Wang, Guanghui, Koike-Akino, Toshiaki
Low-rank adaptation (LoRA) and its variants are widely employed in fine-tuning large models, including large language models for natural language processing and diffusion models for computer vision. This paper proposes a generalized framework called
Externí odkaz:
http://arxiv.org/abs/2403.11887
In this paper, we propose two deep joint source and channel coding (DJSCC) structures with attention modules for the multi-input multi-output (MIMO) channel, including a serial structure and a parallel structure. With singular value decomposition (SV
Externí odkaz:
http://arxiv.org/abs/2311.07041
Autor:
Silva, André Luiz Buarque Vieira e, Simões, Francisco, Kowerko, Danny, Schlosser, Tobias, Battisti, Felipe, Teichrieb, Veronica
Within (semi-)automated visual industrial inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect patterns in pixel size on high-resolution imagery. The emerg
Externí odkaz:
http://arxiv.org/abs/2311.02747
This paper proposed a cutting-edge multiclass teeth segmentation architecture that integrates an M-Net-like structure with Swin Transformers and a novel component named Teeth Attention Block (TAB). Existing teeth image segmentation methods have issue
Externí odkaz:
http://arxiv.org/abs/2311.03749
Akademický článek
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Autor:
Omrani, Ali Reza, Moroni, Davide
Publikováno v:
IEEE ACCESS (2024)
Thanks to High Dynamic Range (HDR) imaging methods, the scope of photography has seen profound changes recently. To be more specific, such methods try to reconstruct the lost luminosity of the real world caused by the limitation of regular cameras fr
Externí odkaz:
http://arxiv.org/abs/2307.14705
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2372-2388 (2024)
Abstract This paper introduces a new descriptor called orientation‐magnitude response maps as a single 2D image to effectively explore motion patterns. Moreover, boosted multi‐stream CNN‐based model with various attention modules is designed fo
Externí odkaz:
https://doaj.org/article/d7baf94f9d464d2eb900c7d06f3317e0
Autor:
Nascimento, Valfride, Laroca, Rayson, Lambert, Jorge de A., Schwartz, William Robson, Menotti, David
Publikováno v:
Computers & Graphics, vol. 113, pp. 69-76, 2023
Recent years have seen significant developments in the field of License Plate Recognition (LPR) through the integration of deep learning techniques and the increasing availability of training data. Nevertheless, reconstructing license plates (LPs) fr
Externí odkaz:
http://arxiv.org/abs/2305.17313