no code implementations • 27 Sep 2022 • Mingxi Tan, Alexis Rolland, Andong Tian
In this paper, we propose a new regularization method: Regularized Contrastive Learning, which can help transformer-based models to learn a better representation of sentences.
no code implementations • 1 Sep 2020 • Abassin Sourou Fangbemi, Yi Fei Lu, Mao Yuan Xu, Xiao Wu Luo, Alexis Rolland, Chedy Raissi
This work introduces a novel strategy for generating synthetic training data for 2D and 3D pose estimation of animals using keyframe animations.