188 Open source projects that are alternatives of or similar to FastAP-metric-learning

Generalized Deep Metric Learning.

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

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

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

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

Deep recommender models using 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)

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

tools for fast reading of docs

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation (CVPR2020) https://arxiv.org/abs/2003.14266

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

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

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

A Python implementation of LightFM, a hybrid recommendation algorithm.

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

A machine learning tool that ranks strings based on their relevance for malware analysis.

Set of command line tools for Learning To Rank

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

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

(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.

awesome few shot / meta learning papers

SegSort: Segmentation by Discriminative Sorting of Segments

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!

This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

[CVPR16] Accumulated Stability Voting: A Robust Descriptor from Descriptors of Multiple Scales

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

Awesome Few-shot learning

The relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.

[CVPR2021] Look before you leap: learning landmark features for one-stage visual grounding.

🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

Learning to Rank in TensorFlow

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

An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.

A curated list of the Video Summarization subject which is a computer science using machine learning and deep learning

Complete download for papers in various top conferences

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

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

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

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

Accelerated deep learning R&D

Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"

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

The ICIP2018 paper "Color Image Demosaicking using a 3-stage Convolutional Neural Network Structure"

Deep metric learning methods implemented in Chainer

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

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

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

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

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

Metric learning algorithms in Python

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

[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

Open source person re-identification library in python

TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.

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

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

Learning Tree structures and Tree metrics

Code for Supervised Word Mover's Distance (SWMD)

My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".