64 Open source projects that are alternatives of or similar to Deep-Metric-Embedding

A simple yet effective loss function for face verification.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

(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.

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

R package for Distance Metric Learning

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

In defence of metric learning for speaker recognition

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Adversarial Ranking Attack and Defense, ECCV, 2020.

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Metric learning algorithms in Python

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Awesome Few-shot learning

https://www.kaggle.com/c/humpback-whale-identification

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

A comprehensive survey of deep metric learning and related works

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Code for Supervised Word Mover's Distance (SWMD)

Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)

SegSort: Segmentation by Discriminative Sorting of Segments

Finetuning any DNN for better embedding on neural search tasks

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)

Open source person re-identification library in python

scLearn：Learning for single cell assignment

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

The first fully convolutional metric learning for geometric/semantic image correspondences.

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

This is the implementation of paper <Additive Margin Softmax for Face Verification>

Learning Tree structures and Tree metrics

PyTorch Implementation for Deep Metric Learning Pipelines

Accelerated deep learning R&D

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

A PyTorch library for benchmarking deep metric learning. It's powerful.

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Deep metric learning methods implemented in Chainer

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

Playground of Metric Learning with MNIST @pytorch. We provide ArcFace, CosFace, SphereFace, CircleLoss and visualization.

Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

Project page for Heated-up Softmax Embedding

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

awesome few shot / meta learning papers

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Generalized Deep Metric Learning.

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)