📝Awesome and classical image retrieval papers
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Updated
Oct 31, 2023
📝Awesome and classical image retrieval papers
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
My personal note about local and global descriptor
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
Comparative Evaluation of Hand-Crafted and Learned Local Features
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
ELSED: Enhanced Line SEgment Drawing
Open Source Graph Neural Net Based Pipeline for Image Matching
Baselines for the Image Matching Benchmark and Challenge
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
🚀🚀 Revisiting Binary Local Image Description for Resource Limited Devices
MODS (Matching On Demand with view Synthesis) is algorithm for wide-baseline matching.
PyTorch implementation of SIFT descriptor
Computer Vision - Local Features (HARRIS, MSER, SIFT, PCA-SIFT, GLOH)
HOW local descriptors
MFD - Multispectral Feature Descriptor
[CVPR 2023] SFD2: Semantic-guided Feature Detection and Description. Embedding semantics into local features implicitly for long-term visual localization
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