SOTAVerified

Content-Based Image Retrieval

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

Papers

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Showing 51–75 of 195 papers

TitleStatusHype
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
Web image search engine based on LSH index and CNN Resnet50—0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI—0
iART: A Search Engine for Art-Historical Images to Support Research in the HumanitiesCode0
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey—0
Deep Learning Based Image Retrieval in the JPEG Compressed Domain—0
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval—0
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval—0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval—0
Deep Learning for Instance Retrieval: A Survey—0
Unsupervised Content based Image Retrieval at Different Precision Level by Combining Multiple Features—0
A Decade Survey of Content Based Image Retrieval using Deep Learning—0
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era—0
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval—0
A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD PoolingCode0
Privacy Leakage of SIFT Features via Deep Generative Model based Image ReconstructionCode0
Neuromorphic Computing for Content-based Image Retrieval—0
A new Local Radon Descriptor for Content-Based Image Search—0
A Bag of Visual Words Model for Medical Image Retrieval—0
A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers—0
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94—Unverified