Pinned Repositories
DFM
Python (Pytorch) and Matlab (MatConvNet) implementations of CVPR 2021 Image Matching Workshop paper DFM: A Performance Baseline for Deep Feature Matching
hlb-CIFAR10
Train to 94% on CIFAR-10 in less than 7 seconds on a single A100, the current world record. Or ~95.80% in ~120 seconds (or less!).
IME
Image Matching Evaluation
pytorch-auto-augment
PyTorch implementation of AutoAugment.
PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
ufukefe's Repositories
ufukefe/DFM
Python (Pytorch) and Matlab (MatConvNet) implementations of CVPR 2021 Image Matching Workshop paper DFM: A Performance Baseline for Deep Feature Matching
ufukefe/IME
Image Matching Evaluation
ufukefe/hlb-CIFAR10
Train to 94% on CIFAR-10 in less than 7 seconds on a single A100, the current world record. Or ~95.80% in ~120 seconds (or less!).
ufukefe/pytorch-auto-augment
PyTorch implementation of AutoAugment.
ufukefe/PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
ufukefe/SuperPointPretrainedNetwork
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)