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Meta-causal Public
Code of CVPR 2023 paper Meta-causal Learning for Single Domain Generalization
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Code of the NeurIPS 2022 paper "Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds".
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CurAML Public
code of theT-PAMI paper "Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data"
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Learning-a-Gradient-free-Riemannian-Optimizer-on-Tangent-Spaces Public
Forked from XiaomengFanmcislab/Learning-a-Gradient-free-Riemannian-Optimizer-on-Tangent-SpacesPython UpdatedDec 8, 2020 -
code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
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PSSSD Public
A Robust Distance Measure for Similarity-based classification on the SPD Manifold
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vision Public
Forked from pytorch/visionDatasets, Transforms and Models specific to Computer Vision
Jupyter Notebook BSD 3-Clause "New" or "Revised" License UpdatedMar 31, 2020 -
Deep-Metric-Learning-Baselines Public
Forked from Confusezius/Deep-Metric-Learning-BaselinesPyTorch Implementation for Deep Metric Learning Pipelines
Python Apache License 2.0 UpdatedFeb 22, 2020 -
FactorizedBilinearCoding Public
This repository is the implementation of AAAI 2020 paper: "Revisiting Bilinear Pooling: A Coding Perspective".
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Kernel-SPD-Pooling Public
The code of Learning a robust representation via a deep network on symmetric positive definite manifolds
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