28 citations · 73 across the 31 of their papers we have counts for
5 papers · 1 filter
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong, Zhixiang Chi, Li Gu +3
In this paper, we tackle the problem of domain shift. Most existing methods perform training on multiple source domains using a single model, and the same trained model is used on…
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022
Li Gu, Zhixiang Chi, Huan Liu +2
In this work, we present the winning solution for ORBIT Few-Shot Video Object Recognition Challenge 2022. Built upon the ProtoNet baseline, the performance of our method is improve…
Error-Aware Spatial Ensembles for Video Frame Interpolation
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu +4
Video frame interpolation~(VFI) algorithms have improved considerably in recent years due to unprecedented progress in both data-driven algorithms and their implementations. Recent…
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
Huan Liu, Li Gu, Zhixiang Chi +4
Few-shot class-incremental learning (FSCIL) has been proposed aiming to enable a deep learning system to incrementally learn new classes with limited data. Recently, a pioneer clai…
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
Hanwen Liang, Niamul Quader, Zhixiang Chi +4
Recent self-supervised video representation learning methods have found significant success by exploring essential properties of videos, e.g. speed, temporal order, etc. This work…