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 )


Use these libraries to find Image Retrieval models and implementations

Most implemented papers

VGGFace2: A dataset for recognising faces across pose and age

deepinsight/insightface 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.

NetVLAD: CNN architecture for weakly supervised place recognition

Relja/netvlad CVPR 2016

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.

Fine-tuning CNN Image Retrieval with No Human Annotation

filipradenovic/cnnimageretrieval-pytorch 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.

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

facebookresearch/vilbert-multi-task NeurIPS 2019

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

Learning Deep Representations of Fine-grained Visual Descriptions

hanzhanggit/StackGAN-v2 CVPR 2016

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

Large-Scale Image Retrieval with Attentive Deep Local Features

tensorflow/models ICCV 2017

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

Looking at Outfit to Parse Clothing

kyamagu/js-segment-annotator 4 Mar 2017

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

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

fartashf/vsepp 18 Jul 2017

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

Circle Loss: A Unified Perspective of Pair Similarity Optimization

layumi/Person_reID_baseline_pytorch CVPR 2020

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 $s_n$.

Particular object retrieval with integral max-pooling of CNN activations

naver/deep-image-retrieval 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.