Content-Based Image Retrieval

30 papers with code • 1 benchmarks • 5 datasets

Content-Based Image Retrieval is a well studied problem in computer vision, with retrieval problems generally divided into two groups: category-level retrieval and instance-level retrieval. Given a query image of the Sydney Harbour bridge, for instance, category-level retrieval aims to find any bridge in a given dataset of images, whilst instance-level retrieval must find the Sydney Harbour bridge to be considered a match.

Source: Camera Obscurer: Generative Art for Design Inspiration

iART: A Search Engine for Art-Historical Images to Support Research in the Humanities

TIBHannover/iart 3 Aug 2021

In this paper, we introduce iART: an open Web platform for art-historical research that facilitates the process of comparative vision.

3
03 Aug 2021

City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD Pooling

canhld94/daejeon520 19 Sep 2020

In this paper, we present a fully-automated system for place recognition at a city-scale based on content-based image retrieval.

6
19 Sep 2020

Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction

HighwayWu/SIFT-Reconstruction 2 Sep 2020

It is shown that, if the adversary can only have access to the SIFT descriptors while not their coordinates, then the modest success of reconstructing the latent image can be achieved for highly-structured images (e. g., faces) and would fail in general settings.

8
02 Sep 2020

PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks

PyRetri/PyRetri 2 May 2020

Despite significant progress of applying deep learning methods to the field of content-based image retrieval, there has not been a software library that covers these methods in a unified manner.

1,153
02 May 2020

CBIR using features derived by Deep Learning

pidahbus/deepCBIR 13 Feb 2020

In a Content Based Image Retrieval (CBIR) System, the task is to retrieve similar images from a large database given a query image.

2
13 Feb 2020

Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking

UDLF/UDLF 1 Dec 2019

In this paper, a novel manifold ranking algorithm is proposed based on the hypergraphs for unsupervised multimedia retrieval tasks.

54
01 Dec 2019

Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images

cvjena/eu-flood-dataset 9 Aug 2019

The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to a coarse distribution of sensors or sensor failures.

37
09 Aug 2019

Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval

mzhang367/hpdh 31 Jan 2019

Deep hashing models have been proposed as an efficient method for large-scale similarity search.

6
31 Jan 2019

Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval

liuzrcc/PIRE 29 Jan 2019

An adversarial query is an image that has been modified to disrupt content-based image retrieval (CBIR) while appearing nearly untouched to the human eye.

14
29 Jan 2019

Classification is a Strong Baseline for Deep Metric Learning

microsoft/computervision-recipes 30 Nov 2018

Deep metric learning aims to learn a function mapping image pixels to embedding feature vectors that model the similarity between images.

9,273
30 Nov 2018