📝Awesome and classical image retrieval papers
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
#Awesome#My personal note about local and global descriptor
#计算机科学#Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
A framework to easily use 32 (and growing) different image matching methods
Open Source Graph Neural Net Based Pipeline for Image Matching
PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"
#计算机科学#Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Baselines for the Image Matching Benchmark and Challenge
Comparative Evaluation of Hand-Crafted and Learned Local Features
🚀🚀 Revisiting Binary Local Image Description for Resource Limited Devices
PyTorch implementation of SIFT descriptor
[CVPR 2023] SFD2: Semantic-guided Feature Detection and Description. Embedding semantics into local features implicitly for long-term visual localization
[CVPR2022] Decoupling Makes Weakly Supervised Local Feature Better
MODS (Matching On Demand with view Synthesis) is algorithm for wide-baseline matching.
A CUDA implementation of keypoint detection and descriptor extraction