The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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Updated
Apr 1, 2024 - Python
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.
⛹️ 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
SOTA Re-identification Methods and Toolbox
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Visual localization made easy with hloc
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Deep Metric Learning
Simple image search engine
🏞 A content-based image retrieval (CBIR) system
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
Deep Learning Computer Vision Algorithms for Real-World Use
AnyLoc: Universal Visual Place Recognition (RA-L 2023)
PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
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