There are 48 repositories under image-retrieval topic.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Torchreid: Deep learning person re-identification in PyTorch.
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Visual localization made easy with hloc
📝Awesome and classical image retrieval papers
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
Deep Metric Learning
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.
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
:octocat:Various hashing methods for image retrieval and serves as the baselines
🚀CNN-based image retrieval built on Keras
This Telegram Bot can tell the anime when you send an screenshot to it
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.
Deep Learning Computer Vision Algorithms for Real-World Use
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
Comparison of famous convolutional neural network models
ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
Using siamese network to do dimensionality reduction and similar image retrieval
TOMM2020 Dual-Path Convolutional Image-Text Embedding :feet: https://arxiv.org/abs/1711.05535