104 Open source projects that are alternatives of or similar to Keras_rmac_plus

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

Easy Landmark Image Recognition with TensorFlow Hub DELF Module

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

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

Scene search On Liresolr for Animation. (and video)

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

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

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

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

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.

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

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

Supervised Semantics-preserving Deep Hashing (TPAMI18)

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

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

Hierarchy-based Image Embeddings for Semantic Image Retrieval

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 Anchor Loss for Deep Metric Learning, CVPR 2020

(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.

CNN CBIR benchmark (ongoing)

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

Person re-ID baseline with triplet loss

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

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

Putting LIRE into Solr - an ongoing project

A C++11 multithread library for image retrieval

SOTA Re-identification Methods and Toolbox

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

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.

Knowledge Management for Humans using Machine Learning & Tags

Diffusion on manifolds for image retrieval

Wrapper of DELF Tensorflow Model

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

WebExtension for the Anime Reverse Search Engine to search by image

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

vehicle image retrieval using k CNNs ensemble method

PyTorch Blog Post On Image Similarity Search

source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

📝Awesome and classical image retrieval papers

2020华为DIGIX全球校园AI算法精英大赛计算机视觉赛道第三名解决方案

Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)

This project is intended to solve the task of massive image retrieval.