ftt123456322's repositories
AdaLAM
AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning
awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
BUPTMasterThesisWord
The Microsoft Office Word template of BUPT Thesis for Master Degree.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
CVPR2020-Code
CVPR 2020 论文开源项目合集
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DeepLearningTutorial
深度学习代码
ECCV2020-Code
ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目
explore-python
:green_book: The Beauty of Python Programming.
FDA
Fourier Domain Adaptation for Semantic Segmentation
ISDA-for-Deep-Networks
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
leedeeprl-notes
李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/
Machine-Learning-1
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Map-based-Visual-Localization
A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
mmcv
OpenMMLab Computer Vision Foundation
mseg-semantic
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
openfabmap
Open-source C++ code for the FAB-MAP visual place recognition algorithm
Reflection_Summary
算法理论基础知识应知应会
Semi-Siamese-Training
"Semi-Siamese Training for Shallow Face Learning"
seqvlad-pytorch
The implementation of Sequential VLAD in Pytorch
SFND_2D_Feature_Tracking
Keypoints Detector(HARRIS, FAST, BRISK, ORB, AKAZE, and SIFT), Patch Descriptor(BRIEF, ORB, FREAK, AKAZE and SIFT)，and Matching(BFmatching, FLANN matching)).
shape_based_matching
try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers
SOD-CNNs-based-code-summary-
The summary of code and paper for salient object detection with deep learning
SOD100K
The official repo of the ECCV 2020 paper Highly Efficient Salient Object Detection with 100K Parameters
STAR-FC
The implementation of the CVPR2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes"
study_resources
study rsources of model and engineering