Pinned Repositories
AI-Surveys
整理AI相关领域的一些综述
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Heterogeneous-self-supervised-intersest-point-matching-for-multi-modal-image-registration
a strategy for training a base detector that used in conjunction with heterogeneous homographic adaptation to generate pseudo-ground truth interest point labels for unlabeled images in a self-supervised fashion. Then, the interest points and point correspondences obtained by Heterogeneous SuperPoint Network are used to do the final matching with the nearest neighbor (NN) matching and Random sample consensus (RANSAC).
Hog-feature
HOG feature extractor with simple python implementation
mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
SuperPoint
Efficient neural feature detector and descriptor
zhgx-ch's Repositories
zhgx-ch/Heterogeneous-self-supervised-intersest-point-matching-for-multi-modal-image-registration
a strategy for training a base detector that used in conjunction with heterogeneous homographic adaptation to generate pseudo-ground truth interest point labels for unlabeled images in a self-supervised fashion. Then, the interest points and point correspondences obtained by Heterogeneous SuperPoint Network are used to do the final matching with the nearest neighbor (NN) matching and Random sample consensus (RANSAC).
zhgx-ch/AI-Surveys
整理AI相关领域的一些综述
zhgx-ch/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
zhgx-ch/Hog-feature
HOG feature extractor with simple python implementation
zhgx-ch/mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
zhgx-ch/SuperPoint
Efficient neural feature detector and descriptor