no code implementations • 12 Mar 2024 • Ling Han, Nanqing Luo, Hao Huang, Jing Chen, Mary-Anne Hartley
This work delves into the complexities of machine unlearning in the face of distributional shifts, particularly focusing on the challenges posed by non-uniform feature and label removal.
1 code implementation • 29 Jan 2022 • Jie Li, Ling Han, Cong Zhang, Qiyue Li, Zhi Liu
Most of the current prediction methods combining saliency detection and FoV information neither take into account that the distortion of projected 360-degree videos can invalidate the weight sharing of traditional convolutional networks, nor do they adequately consider the difficulty of obtaining complete multi-user FoV information, which degrades the prediction performance.