174 Open source projects that are alternatives of or similar to proxy-synthesis

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

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

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

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

(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.

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

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.

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

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

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

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

Generalized Deep Metric Learning.

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

A simple yet effective loss function for face verification.

PyTorch Implementation for Deep Metric Learning Pipelines

A comprehensive survey of deep metric learning and related works

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)

Deep metric learning methods implemented in Chainer

In defence of metric learning for speaker recognition

SegSort: Segmentation by Discriminative Sorting of Segments

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

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

🧶 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

Easy Landmark Image Recognition with TensorFlow Hub DELF Module

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

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

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

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

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

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

awesome few shot / meta learning papers

Project page for Heated-up Softmax Embedding

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

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

Awesome Few-shot learning

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

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

Open source person re-identification library in python

scLearn：Learning for single cell assignment

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!

Adversarial Ranking Attack and Defense, ECCV, 2020.

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

Finetuning any DNN for better embedding on neural search tasks

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

R package for Distance Metric Learning

Code for reproducing results in GraphMix paper

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

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

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Official repository of ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Metric learning algorithms in Python

Code for NeurIPS 2019 Paper

Local Fisher Discriminant Analysis in R

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

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

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Papers and Codes about Deep Metric Learning/Deep Embedding