404 Open source projects that are alternatives of or similar to GPQ

(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.

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

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

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

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

Supervised Semantics-preserving Deep Hashing (TPAMI18)

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

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

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

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

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

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

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

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

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

Awesome Few-shot learning

Reproduce some methods in semi-supervised papers.

Fast CRC-32-Castagnoli implementation in Rust

⚡ A fast embedded library for approximate nearest neighbor search

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

Quick ADC

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

🌱 Construct Merkle Trees and verify proofs in JavaScript.

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

Keras implementation of temporal ensembling(semi-supervised learning)

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

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

(CVPRW 2022) Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.

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)

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

Useful utility classes and helpers from DamienG.com

This Repo consists of Data structures and Algorithms

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

Active learning for deep object detection using YOLO

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

Argon2 Binding for the JVM

Fast search algorithm for product-quantized codes via hash-tables

C library of key-value data structures.

2020 DIGIX GLOBAL AI CHALLENGE - Digital Device Image Retrieval - Top2 WEARE队

Content Based Image Retrieval Techniques (e.g. knn, svm using MatLab GUI)

C library implementing the ridiculously fast CLHash hashing function

A collection of useful utility functions

No description or website provided.

awesome few shot / meta learning papers

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Repository for Shoko Server.

Easy Landmark Image Recognition with TensorFlow Hub DELF Module

Collection of Abhishek Agrawal's gists solutions for problems on https://www.interviewbit.com

The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Python codes for weakly-supervised learning

Advanced Hash Manipulation

Authenticated Data Structures Generically

CryptoKnight is a general purpose cryptography desktop app