224 Open source projects that are alternatives of or similar to visual-compatibility

Metric learning algorithms in Python

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

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

[CVPR'19] End-to-end Projector Photometric Compensation

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

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

A simple yet effective loss function for face verification.

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

A comprehensive survey of deep metric learning and related works

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

In defence of metric learning for speaker recognition

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

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

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

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

pytorch implementation of the TwinBert paper

Adversarial Ranking Attack and Defense, ECCV, 2020.

Fashion inspiration and shopping app helping you wear that's in style. Made with Typescript & ReactNative.

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

R package for Distance Metric Learning

A website to help you establish a wardrobe.

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Fashion Landmark Estimation with HRNet

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

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)

Local Fisher Discriminant Analysis in R

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

Papers and Codes about Deep Metric Learning/Deep Embedding

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

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

Calculate your carbon footprint 🏭👣 from food, transport, purchases, fashion, electricity and digital activities like streaming, NFT or blockchain.

Learning Tree structures and Tree metrics

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

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

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

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

Demo of RouteNet in ACM SIGCOMM'19

Siamese and triplet networks with online pair/triplet mining in PyTorch

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

Writer independent offline signature verification using convolutional siamese networks

Dialect identification using Siamese network

Identifying forged signatures using convolutional siamese networks implemented in Keras

(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.

Image similarity using Triplet Loss

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain.

Farm Animal Tracking (FAT)

SegSort: Segmentation by Discriminative Sorting of Segments

OneShot Learning-based hotword detection.

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

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!

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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