64 Open source projects that are alternatives of or similar to Metric Learning Divide And Conquer

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

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

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

R package for Distance Metric Learning

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

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

Local Fisher Discriminant Analysis in R

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

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

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

Finetuning any DNN for better embedding on neural search tasks

awesome few shot / meta learning papers

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

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

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

PyTorch Implementation for Deep Metric Learning Pipelines

Papers and Codes about Deep Metric Learning/Deep Embedding

Deep metric learning methods implemented in Chainer

Learning Tree structures and Tree metrics

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

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

Open source person re-identification library in python

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

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

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

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

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

Project page for Heated-up Softmax Embedding

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!

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

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

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

(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.

scLearn：Learning for single cell assignment

A simple yet effective loss function for face verification.

Code for NeurIPS 2019 Paper

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

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

A comprehensive survey of deep metric learning and related works

Generalized Deep Metric Learning.

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

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

In defence of metric learning for speaker recognition

Code for Supervised Word Mover's Distance (SWMD)

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

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

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

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

SegSort: Segmentation by Discriminative Sorting of Segments

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)

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

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

Metric learning algorithms in Python

🧶 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

Accelerated deep learning R&D

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

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

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

Adversarial Ranking Attack and Defense, ECCV, 2020.