Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yong Xuan Tan"'
Publikováno v:
IEEE Access, Vol 12, Pp 86690-86703 (2024)
The few-shot learning paradigm aims to generalize to unseen tasks with limited samples. However, a focus solely on class-level discrimination may fall short of achieving robust generalization, especially when neglecting instance diversity and discrim
Externí odkaz:
https://doaj.org/article/1b1e2b1f1c2d47068e0194e39ab9e5e9
Publikováno v:
IEEE Access, Vol 11, Pp 88099-88115 (2023)
Text-to-image synthesis is a fascinating area of research that aims to generate images based on textual descriptions. The main goal of this field is to generate images that match the given textual description in terms of both semantic consistency and
Externí odkaz:
https://doaj.org/article/45abbef8e7a44dceb9cebd3b9653c704
Publikováno v:
IEEE Access, Vol 11, Pp 39508-39519 (2023)
The task of Text-to-Image synthesis is a difficult challenge, especially when dealing with low-data regimes, where the number of training samples is limited. In order to address this challenge, the Self-Supervision Text-to-Image Generative Adversaria
Externí odkaz:
https://doaj.org/article/5ababde7aa254cb8b7da4faefe7c60f7
Autor:
Mai Neo, Chin Poo Lee, Heidi Yeen-Ju Tan, Tse Kian Neo, Yong Xuan Tan, Nazi Mahendru, Zahra Ismat
Publikováno v:
International Journal of Technology, Vol 13, Iss 5, Pp 1023-1034 (2022)
The COVID-19 pandemic led to all institutions of education having to transition to fully online learning almost immediately. However, research showed that online learning still lacked adequate interactions with students. This is even more problema
Externí odkaz:
https://doaj.org/article/9c02dfe79e5d429fa329d1c94ba22cb3
Publikováno v:
Pattern Recognition Letters. 169:43-49
Publikováno v:
Pattern Recognition Letters. 157:119-126
Publikováno v:
IAENG International Journal of Computer Science; Mar2022, Vol. 49 Issue 1, p149-155, 7p