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This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.
All Algorithms implemented in Python
Official Implementation of paper "Semantic-aware Representation Learning for Homography Estimation"
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
Semantic-geometric combined feature matching in a unified searching perspective.
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
This is the official implementation in PyTorch for AAAI2022 paperGuide Local Feature Matching by Overlap Estimation and also contain a image matching toolbox.
End-to-End Object Detection with Transformers
[AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching
[CVPR'24] MESA: Matching Everything by Segmenting Anything
Single Domain Generalization Method for Remote Sensing Image Segmentation via Category Consistency on Domain Randomization
A Framework for Deep Learning-based Sparse SAR-Optical Image Matching
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
XoFTR is a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images.
Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV
[3DV 2024 Oral] DeDoDe 🎶 Detect, Don't Describe --- Describe, Don't Detect, for Local Feature Matching
Official Implementation of Deep Aerial Image Matching using PyTorch
Minimal solvers for calibrated camera pose estimation
[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.