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Image Retrieval

193 papers with code · Computer Vision

Image retrieval systems aim to find similar images to a query image among an image dataset.

( Image credit: DELF )

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Greatest papers with code

Unifying Deep Local and Global Features for Image Search

14 Jan 2020tensorflow/models

In this work, our key contribution is to unify global and local features into a single deep model, enabling accurate retrieval with efficient feature extraction.

DIMENSIONALITY REDUCTION IMAGE RETRIEVAL

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

CVPR 2018 tensorflow/models

In particular, annotation errors, the size of the dataset, and the level of challenge are addressed: new annotation for both datasets is created with an extra attention to the reliability of the ground truth.

IMAGE RETRIEVAL

Deep Image Retrieval: Learning global representations for image search

5 Apr 2016tensorflow/models

We propose a novel approach for instance-level image retrieval.

IMAGE RETRIEVAL REGION PROPOSAL

Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval

3 Apr 2020tensorflow/models

GLDv2 is the largest such dataset to date by a large margin, including over 5M images and 200k distinct instance labels.

IMAGE RETRIEVAL TRANSFER LEARNING

Detect-to-Retrieve: Efficient Regional Aggregation for Image Search

CVPR 2019 tensorflow/models

Then, we demonstrate how a trained landmark detector, using our new dataset, can be leveraged to index image regions and improve retrieval accuracy while being much more efficient than existing regional methods.

IMAGE RETRIEVAL

Large-Scale Image Retrieval with Attentive Deep Local Features

ICCV 2017 tensorflow/models

We propose an attentive local feature descriptor suitable for large-scale image retrieval, referred to as DELF (DEep Local Feature).

IMAGE RETRIEVAL

VGGFace2: A dataset for recognising faces across pose and age

23 Oct 2017deepinsight/insightface

The dataset was collected with three goals in mind: (i) to have both a large number of identities and also a large number of images for each identity; (ii) to cover a large range of pose, age and ethnicity; and (iii) to minimize the label noise.

FACE RECOGNITION FACE VERIFICATION IMAGE RETRIEVAL

Classification is a Strong Baseline for Deep Metric Learning

30 Nov 2018microsoft/computervision-recipes

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

CONTENT-BASED IMAGE RETRIEVAL FACE VERIFICATION METRIC LEARNING

Improving zero-shot learning by mitigating the hubness problem

20 Dec 2014facebookresearch/MUSE

The zero-shot paradigm exploits vector-based word representations extracted from text corpora with unsupervised methods to learn general mapping functions from other feature spaces onto word space, where the words associated to the nearest neighbours of the mapped vectors are used as their linguistic labels.

IMAGE RETRIEVAL ZERO-SHOT LEARNING

FastReID: A Pytorch Toolbox for General Instance Re-identification

4 Jun 2020JDAI-CV/fast-reid

General Instance Re-identification is a very important task in the computer vision, which can be widely used in many practical applications, such as person/vehicle re-identification, face recognition, wildlife protection, commodity tracing, and snapshop, etc.. To meet the increasing application demand for general instance re-identification, we present FastReID as a widely used software system in JD AI Research.

FACE RECOGNITION IMAGE RETRIEVAL PERSON RE-IDENTIFICATION VEHICLE RE-IDENTIFICATION