130 Open source projects that are alternatives of or similar to keras_rmac

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

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

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.

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

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NAACL2021 - COIL Contextualized Lexical Retriever

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

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

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Plexus - Interactive Emotion Visualization based on Social Media

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

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.

An Unsupervised Distance Learning Framework for Multimedia Retrieval

Easy Landmark Image Recognition with TensorFlow Hub DELF Module

libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)

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Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

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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

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

Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track

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Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

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

PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020

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

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Using efficientnet to provide embeddings for retrieval

Saliency Weighted Convolutional Features for Instance Search

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

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

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

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Palladian is a Java-based toolkit with functionality for text processing, classification, information extraction, and data retrieval from the Web.

Challenge the customer to shop task with tripletNet

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Apache Lucene.NET

Image retrieval learning record

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

Cottontail DB is a column store aimed at multimedia retrieval. It allows for classical boolean as well as vector-space retrieval (nearest neighbour search) used in similarity search using a unified data and query model.

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No description or website provided.

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.

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Cineast is a multi-feature content-based mulitmedia retrieval engine. It is capable of retrieving images, audio- and video sequences as well as 3d models based on edge or color sketches, textual descriptions and example objects.

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