86 Open source projects that are alternatives of or similar to Prototypical Networks

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

Selective Classification For Deep Neural Networks.

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

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

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

R package for Distance Metric Learning

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

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

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

Awesome Few-shot learning

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Generalized Deep Metric Learning.

Finetuning any DNN for better embedding on neural search tasks

Learning Tree structures and Tree metrics

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

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

Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"

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

A comprehensive survey of deep metric learning and related works

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

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

🧶 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

PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)

Code for "Effective Dimensionality Reduction for Word Embeddings".

End-to-End Differentiable Proving

Papers and Codes about Deep Metric Learning/Deep Embedding

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

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

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

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

Project page for Heated-up Softmax Embedding

Code for Supervised Word Mover's Distance (SWMD)

PyTorch Implementation for Deep Metric Learning Pipelines

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

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

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

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

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)

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Code for NIPS 2017 learning to run challenge

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

awesome few shot / meta learning papers

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

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

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

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

scLearn：Learning for single cell assignment

Hiding Images within other images using Deep Learning

Structured Bayesian Pruning, NIPS 2017

Implementation for <Deep Hyperspherical Learning> in NIPS'17.

Code for NeurIPS 2019 Paper

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Adversarial Ranking Attack and Defense, ECCV, 2020.

Local Fisher Discriminant Analysis in R

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

A simple yet effective loss function for face verification.

In defence of metric learning for speaker recognition

Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)

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