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 76–100 of 195 papers

TitleStatusHype
Representing pictures with emotions—0
Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections—0
Rotation Invariant Deep CBIR—0
Satellite Image Search in AgoraEO—0
Content-based image retrieval using Mix histogram—0
Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application—0
Semantic bottleneck for computer vision tasks—0
Semi-supervised lung nodule retrieval—0
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning—0
Stacked Autoencoders for Medical Image Search—0
Survey on Sparse Coded Features for Content Based Face Image Retrieval—0
Techniques for effective and efficient fire detection from social media images—0
Texture and Color-based Image Retrieval Using the Local Extrema Features and Riemannian Distance—0
Texture image retrieval using a classification and contourlet-based features—0
Texture Retrieval via the Scattering Transform—0
Medical Image Super-Resolution Using a Generative Adversarial Network—0
The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems—0
Towards Practical Visual Search Engine within Elasticsearch—0
Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões—0
Unsupervised Multi-modal Hashing for Cross-modal retrieval—0
Unsupervised Content based Image Retrieval at Different Precision Level by Combining Multiple Features—0
VISIR: Visual and Semantic Image Label Refinement—0
Visual descriptors for content-based retrieval of remote sensing images—0
Visual Relationship Detection with Language Priors—0
Web image search engine based on LSH index and CNN Resnet50—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94—Unverified