# Image Retrieval

433 papers with code • 27 benchmarks • 47 datasets

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

( Image credit: DELF )

## Libraries

Use these libraries to find Image Retrieval models and implementations
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# VGGFace2: A dataset for recognising faces across pose and age

23 Oct 2017

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.

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# NetVLAD: CNN architecture for weakly supervised place recognition

We tackle the problem of large scale visual place recognition, where the task is to quickly and accurately recognize the location of a given query photograph.

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# Fine-tuning CNN Image Retrieval with No Human Annotation

3 Nov 2017

We show that both hard-positive and hard-negative examples, selected by exploiting the geometry and the camera positions available from the 3D models, enhance the performance of particular-object retrieval.

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We present ViLBERT (short for Vision-and-Language BERT), a model for learning task-agnostic joint representations of image content and natural language.

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# Learning Deep Representations of Fine-grained Visual Descriptions

State-of-the-art methods for zero-shot visual recognition formulate learning as a joint embedding problem of images and side information.

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# Large-Scale Image Retrieval with Attentive Deep Local Features

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

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# Looking at Outfit to Parse Clothing

4 Mar 2017

This paper extends fully-convolutional neural networks (FCN) for the clothing parsing problem.

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# VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

18 Jul 2017

We present a new technique for learning visual-semantic embeddings for cross-modal retrieval.

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# Circle Loss: A Unified Perspective of Pair Similarity Optimization

This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity $s_p$ and minimize the between-class similarity $s_n$.

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# Particular object retrieval with integral max-pooling of CNN activations

18 Nov 2015

Recently, image representation built upon Convolutional Neural Network (CNN) has been shown to provide effective descriptors for image search, outperforming pre-CNN features as short-vector representations.

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