Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Teoh Teik Toe"'
This paper presents an innovative approach called BGTAI to simplify multimodal understanding by utilizing gloss-based annotation as an intermediate step in aligning Text and Audio with Images. While the dynamic temporal factors in textual and audio i
Externí odkaz:
http://arxiv.org/abs/2410.03146
Object detection and localization are crucial tasks for biomedical image analysis, particularly in the field of hematology where the detection and recognition of blood cells are essential for diagnosis and treatment decisions. While attention-based m
Externí odkaz:
http://arxiv.org/abs/2312.10099
Multimodal large models have been recognized for their advantages in various performance and downstream tasks. The development of these models is crucial towards achieving general artificial intelligence in the future. In this paper, we propose a nov
Externí odkaz:
http://arxiv.org/abs/2307.15898
Recently, researchers have gradually realized that in some cases, the self-supervised pre-training on large-scale Internet data is better than that of high-quality/manually labeled data sets, and multimodal/large models are better than single or bimo
Externí odkaz:
http://arxiv.org/abs/2303.04585
Autor:
Tan, Samson, Teoh, Teik Toe
Publikováno v:
Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 21, p9906, 30p
Publikováno v:
2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA).
Publikováno v:
2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Publikováno v:
Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities ISBN: 9781668464083
The government has focused to maintain the needs of the populace's health and hygienic standards; numerous initiatives are involved, such as flood forecasting, water management, and sewage management. To prevent damage throughout the city, flood pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c51e32fd42b981c3597ced8f8fbc2ff
https://doi.org/10.4018/978-1-6684-6408-3.ch020
https://doi.org/10.4018/978-1-6684-6408-3.ch020
Publikováno v:
2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA).