11 datasets found

Scene flow estimation on point clouds guided by optimal transport.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a RealNVP architecture to learn an approximate optimal transport map between...

The dataset used in the paper is a generative model, specifically a Wasserstein GAN and a Wasserstein VAE.

Label distribution learning by optimal transport.

The dataset used in the paper is a noise distribution and a high-dimensional data distribution.

Temporal Action Localization (TAL) in few-shot learning. Our work addresses the inherent limitations of conventional single-prompt learning methods that often lead to...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a high-dimensional continuous distribution p0, p1 for which the ground truth...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a 2D setup to illustrate the proof-of-concept of their Optimal Flow Matching...

The dataset condensation problem involves transforming a large-scale training set X into a smaller synthetic set X'.

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

The dataset is used to test the performance of WGAN dual OT solvers.