#Image-retrieval
Showing 40 of 40 repositories tagged #image-retrieval, ranked by stars
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.
Visual localization made easy with hloc
SOTA Re-identification Methods and Toolbox
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
Simple image search engine
This repo contains the code for "VLM2Vec" [ICLR 2025], "VLM2Vec-V2 [TMLR 2026]", and "MMEB-V3"
๐ A content-based image retrieval (CBIR) system
AnyLoc: Universal Visual Place Recognition (RA-L 2023)
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Deep Learning Computer Vision Algorithms for Real-World Use
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
Comparison of famous convolutional neural network models
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Hierarchy-based Image Embeddings for Semantic Image Retrieval
Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"
Exploring the connections between artworks with deep "Visual Analogies"
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
The AugNet Python module contains functions for the fast computation of image similarity.
CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Apple's MobileCLIP-S0 architecture, it ensures optimal performance and accurate media retrieval.
[ICLR 2024] Official repository for "Vision-by-Language for Training-Free Compositional Image Retrieval"
[IGARSS 2024 ORAL] Official implementation of "Composed Image Retrieval for Remote Sensing".
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
RMAC implementation in Keras
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)
A cli program of image retrieval using dinov2
Open Source Deep Learning Serving System with Web Interface
LoFS ้ขๅๆฌๅฐ็ฅ่ฏๅบ็ๆก้ข็บงๆไปถ็ฎก็ไธไฟกๆฏๆฃ็ดขๅๅฏน่ฏๅบ็จ
A sample app for the Multimodal Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power Q&A experiences.
Official repository of ICCV21 paper "Viewpoint Invariant Dense Matching for Visual Geolocalization"
Code for "Are Local Features All You Need for Cross-Domain Visual Place Recognition?" CVPR IMW 2023.
YiShape Vector Database is a specialized vector database management system and application assistance system for new artificial intelligence applications such as large language models, natural language processing, and image retrieval.