Torchreid: Deep learning person re-identification in PyTorch.
-
Updated
Jul 22, 2024 - Python
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
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Accelerated deep learning R&D
Open source person re-identification library in python
In defence of metric learning for speaker recognition
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Metric learning algorithms in Python
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
PyTorch Implementation for Deep Metric Learning Pipelines
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
Metric learning and retrieval pipelines, models and zoo.
A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).
(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.
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
Blazing fast framework for fine-tuning similarity learning models
Add a description, image, and links to the metric-learning topic page so that developers can more easily learn about it.
To associate your repository with the metric-learning topic, visit your repo's landing page and select "manage topics."