Zobrazeno 1 - 10
of 358
pro vyhledávání: '"vision model"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Using visual place recognition (VPR) technology to ascertain the geographical location of publicly available images is a pressing issue. Although most current VPR methods achieve favorable results under ideal conditions, their performance in
Externí odkaz:
https://doaj.org/article/9914437915fc4bba8a3ac849e5bc447a
Publikováno v:
Journal of the Korean Society of Radiology, Vol 85, Iss 5, Pp 848-860 (2024)
The recent advent of large language models (LLMs), such as ChatGPT, has drawn attention to generative artificial intelligence (AI) in a number of fields. Generative AI can produce different types of data including text, images, and voice, depending
Externí odkaz:
https://doaj.org/article/1e54df4161ba4581b7a97b151d748986
Publikováno v:
New Microbes and New Infections, Vol 62, Iss , Pp 101457- (2024)
Background: Large vision models (LVM) pretrained by large datasets have demonstrated their enormous capacity to understand visual patterns and capture semantic information from images. We proposed a novel method of knowledge domain adaptation with pr
Externí odkaz:
https://doaj.org/article/dcf99ad4b280495cb10479abeb0dac30
Autor:
Yu Xiaolin
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
A computer vision model is constructed to recognize the expressions and movements of musical performers so as to analyze the changes in the forms and techniques of musical performances under the constructivist theory. The model needs to perform pre-p
Externí odkaz:
https://doaj.org/article/711982d5a887494586a3ea1083f55a7a
Autor:
Duc-Anh Pham, Seung-Hun Han
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 5, p 828 (2024)
In recent years, the global tuna fishing and aquaculture industry has encountered significant challenges in balancing operational efficiency with sustainable resource management. This study introduces an innovative approach utilizing an advanced comp
Externí odkaz:
https://doaj.org/article/8f54c152e72943298ec12852372f9f27
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 4916-4930 (2023)
Are we on the right way for remote sensing image understanding (RSIU) by training models in a supervised data-dependent and task-dependent manner, instead of original human vision in a label-free and task-independent way? We argue that a more desirab
Externí odkaz:
https://doaj.org/article/2b720431dc104e0d9a8fbdc309457099
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
The standard physiological model has serious problems accounting for many aspects of vision, particularly when stimulus configurations become slightly more complex than the ones classically used, e.g., configurations of Gabors rather than only one or
Externí odkaz:
https://doaj.org/article/3decd713b3d640d7aaec99985ca9248d
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1257 (2024)
The robot vision model is the basis for the robot to perceive and understand the environment and make correct decisions. However, the security and stability of robot vision models are seriously threatened by adversarial examples. In this study, we pr
Externí odkaz:
https://doaj.org/article/e2314353fbb041d7be348a37193124ad
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.