optimal transport

OTA: Optimal Transport Assignment for Object Detection CVPR 2021 OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations CVPR 2021 OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport AAAI 2021 Outlier-Robust Optimal Transport ICML 2021 PluckerNet: Learn To Register 3D Line Reconstructions CVPR 2021 POT: Python Optimal Transport JMLR 2021 Projection Robust Wasserstein Barycenters ICML 2021 Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections NeurIPS 2021 Riemannian Convex Potential Maps ICML 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021 Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021 Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021 Score-based Generative Neural Networks for Large-Scale Optimal Transport NeurIPS 2021 Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk CVPR 2021 Semantic Transportation Prototypical Network for Few-Shot Intent Detection Interspeech 2021 SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness ICLR 2021 Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training ICML 2021 Sliced Iterative Normalizing Flows ICML 2021 Solving high-dimensional parabolic PDEs using the tensor train format ICML 2021 SOMA: Solving Optical Marker-Based MoCap Automatically ICCV 2021 Some Theoretical Insights into Wasserstein GANs JMLR 2021 Sparse Needlets for Lighting Estimation With Spherical Transport Loss ICCV 2021 Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency NeurIPS 2021 StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks CVPR 2021 Stylized Neural Painting CVPR 2021