1 code implementation • 20 Dec 2023 • Yilang Zhang, Bingcong Li, Georgios B. Giannakis
Utilizing task-invariant prior knowledge extracted from related tasks, meta-learning is a principled framework that empowers learning a new task especially when data records are limited.
1 code implementation • 31 Mar 2023 • Yilang Zhang, Bingcong Li, Shijian Gao, Georgios B. Giannakis
Meta-learning owns unique effectiveness and swiftness in tackling emerging tasks with limited data.
no code implementations • 17 Nov 2019 • Yilang Zhang, Neal N. Xiong, Zheng Wei, Xin Yuan, Jian Wang
The augmented images help to tell apart the edge gradients, edge pixels and non-edge ones in log-histogram, which contribute significantly to the feature extraction and color-ambiguity elimination, thereby advancing the accuracy of illuminant estimation.