69 Open source projects that are alternatives of or similar to Heated_Up_Softmax_Embedding

(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.

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.

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

A simple yet effective loss function for face verification.

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

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!

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

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

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)

Awesome Few-shot learning

In defence of metric learning for speaker recognition

Generalized Deep Metric Learning.

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

Tensorflow NCE loss in Keras

SegSort: Segmentation by Discriminative Sorting of Segments

Code for Supervised Word Mover's Distance (SWMD)

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

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

Metric learning algorithms in Python

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

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

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

A comprehensive survey of deep metric learning and related works

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

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

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

Papers and Codes about Deep Metric Learning/Deep Embedding

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

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Accelerated deep learning R&D

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

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

BlackOut and Adaptive Softmax for language models by Chainer

Deep metric learning methods implemented in Chainer

Learning Tree structures and Tree metrics

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

scLearn：Learning for single cell assignment

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

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

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

My workshop on machine learning using python language to implement different algorithms

Open source person re-identification library in python

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

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

Code for NeurIPS 2019 Paper

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

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

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

PyTorch Implementation for Deep Metric Learning Pipelines

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

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

Local Fisher Discriminant Analysis in R

awesome few shot / meta learning papers

R package for Distance Metric Learning

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

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

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

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