1 code implementation • 10 Oct 2023 • Yuhui Chen, Haoran Li, Dongbin Zhao
By establishing a mapping from the reverse diffusion trajectories to the desired policy, we simultaneously address the issues of time efficiency and inaccurate guidance when updating diffusion model-based policy with the learned Q-function.
no code implementations • 22 May 2023 • Yachun Li, Jingjing Wang, Yuhui Chen, Di Xie, ShiLiang Pu
To tackle the above issues, we propose a Single Domain Dynamic Generalization (SDDG) framework, which simultaneously exploits domain-invariant and domain-specific features on a per-sample basis and learns to generalize to various unseen domains with numerous natural images.
no code implementations • 1 Apr 2022 • Yachun Li, Ying Lian, Jingjing Wang, Yuhui Chen, Chunmao Wang, ShiLiang Pu
We thus define a new domain adaptation setting called Few-shot One-class Domain Adaptation (FODA), where adaptation only relies on a limited number of target bonafide samples.