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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 195 papers

TitleStatusHype
Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm—0
Image Super-resolution via Feature-augmented Random ForestCode0
Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões—0
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval—0
A Genetic Algorithm Approach for ImageRepresentation Learning through Color Quantization—0
A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval—0
Dual-Path Convolutional Image-Text Embeddings with Instance LossCode0
Automatic Query Image Disambiguation for Content-Based Image RetrievalCode0
MultiNews: A Web collection of an Aligned Multimodal and Multilingual Corpus—0
A Self-Balanced Min-Cut Algorithm for Image Clustering—0
Combining Real-Valued and Binary Gabor-Radon Features for Classification and Search in Medical Imaging Archives—0
Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval—0
Learning Non-Metric Visual Similarity for Image Retrieval—0
Recent Advance in Content-based Image Retrieval: A Literature Survey—0
Convex Formulation of Multiple Instance Learning from Positive and Unlabeled BagsCode0
Content-Based Image Retrieval Based on Late Fusion of Binary and Local Descriptors—0
Differential Geometric Retrieval of Deep Features—0
Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections—0
Feature Extraction and Soft Computing Methods for Aerospace Structure Defect Classification—0
Texture and Color-based Image Retrieval Using the Local Extrema Features and Riemannian Distance—0
Content Based Image Retrieval (CBIR) in Remote Clinical Diagnosis and Healthcare—0
Content-Based Image Retrieval Using Multiresolution Analysis Of Shape-Based Classified Images—0
Stacked Autoencoders for Medical Image Search—0
Content-based image retrieval tutorialCode0
SIFT Meets CNN: A Decade Survey of Instance RetrievalCode0
Show:102550
← PrevPage 6 of 8Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94—Unverified