zhigao2017

FactorizedBilinearCoding

This repository is the implementation of AAAI 2020 paper: "Revisiting Bilinear Pooling: A Coding Perspective".

Learning-to-optimize-on-SPD-manifolds

code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"

Meta-causal

Code of CVPR 2023 paper Meta-causal Learning for Single Domain Generalization

CurvatureGeneration_FSL

PSSSD

A Robust Distance Measure for Similarity-based classification on the SPD Manifold

Kernel-SPD-Pooling

The code of Learning a robust representation via a deep network on symmetric positive definite manifolds

learningriemannianoptimization

Hyperbolic_Feature_Augmentation

Code of the NeurIPS 2022 paper "Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds".

CurAML

code of theT-PAMI paper "Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data"

ZhiGao2017.github.io

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

Learning-a-Gradient-free-Riemannian-Optimizer-on-Tangent-Spaces

RMO

vision

Datasets, Transforms and Models specific to Computer Vision