101 Open source projects that are alternatives of or similar to lfda

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

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.

Deep metric learning methods implemented in Chainer

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)

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!

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

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

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

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

Open source person re-identification library in python

Metric learning algorithms in Python

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

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

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

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

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

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

In defence of metric learning for speaker recognition

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

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

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

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 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

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

🧶 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

Adversarial Ranking Attack and Defense, ECCV, 2020.

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

Finetuning any DNN for better embedding on neural search tasks

Project page for Heated-up Softmax Embedding

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

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

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

scLearn：Learning for single cell assignment

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

Code for NeurIPS 2019 Paper