129 Open source projects that are alternatives of or similar to gnn-re-ranking

SOTA Re-identification Methods and Toolbox

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

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

CNN CBIR benchmark (ongoing)

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

Causing: CAUsal INterpretation using Graphs

Hierarchy-based Image Embeddings for Semantic Image Retrieval

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

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

Official repository of ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

Scene search On Liresolr for Animation. (and video)

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

A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.

No description or website provided.

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

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

An index of recommendation algorithms that are based on Graph Neural Networks.

Person re-ID baseline with triplet loss

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

A C++11 multithread library for image retrieval

A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

Diffusion on manifolds for image retrieval

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

基于tensorflow & tf-servering & flask 的图像检索

Learning cell communication from spatial graphs of cells

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Image retrieval learning record

ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

TOMM2020 Dual-Path Convolutional Image-Text Embedding https://arxiv.org/abs/1711.05535

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

Supervised Semantics-preserving Deep Hashing (TPAMI18)

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.

Simple image retrival on deep-fashion dataset with pytorch - A course project

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

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

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

(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.

An Unsupervised Distance Learning Framework for Multimedia Retrieval

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Code and resources on scalable and efficient Graph Neural Networks

Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Putting LIRE into Solr - an ongoing project

Easy Landmark Image Recognition with TensorFlow Hub DELF Module

[ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization. 🌏 PyTorch open-source toolbox for image-based localization (place recognition).

This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.

Knowledge Management for Humans using Machine Learning & Tags

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Wrapper of DELF Tensorflow Model

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

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

Challenge the customer to shop task with tripletNet

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

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

Code for reproducing results in GraphMix paper

WebExtension for the Anime Reverse Search Engine to search by image