64 Open source projects that are alternatives of or similar to Pvse

Learning Tree structures and Tree metrics

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

Finetuning any DNN for better embedding on neural search tasks

Papers and Codes about Deep Metric Learning/Deep Embedding

Accelerated deep learning R&D

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

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

PyTorch Implementation for Deep Metric Learning Pipelines

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Local Fisher Discriminant Analysis in R

Deep metric learning methods implemented in Chainer

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).

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

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

Adversarial Ranking Attack and Defense, ECCV, 2020.

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

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

awesome few shot / meta learning papers

R package for Distance Metric Learning

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

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

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

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Code for NeurIPS 2019 Paper

SegSort: Segmentation by Discriminative Sorting of Segments

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

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

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

Generalized Deep Metric Learning.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

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

Metric learning algorithms in Python

Code for Supervised Word Mover's Distance (SWMD)

🧶 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

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

A simple yet effective loss function for face verification.

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

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

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)

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

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

Project page for Heated-up Softmax Embedding

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

A comprehensive survey of deep metric learning and related works

Awesome Few-shot learning

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

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

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

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

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.

In defence of metric learning for speaker recognition

scLearn：Learning for single cell assignment

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

Open source person re-identification library in python

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

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

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