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 101–150 of 195 papers

TitleStatusHype
Crawler for Image Acquisition from World Wide Web—0
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval—0
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval—0
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval—0
Deep Features for CBIR with Scarce Data using Hebbian Learning—0
Deep Learning for Instance Retrieval: A Survey—0
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents—0
Deep Learning Based Image Retrieval in the JPEG Compressed Domain—0
Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval—0
Describing Colors, Textures and Shapes for Content Based Image Retrieval - A Survey—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study—0
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features—0
Differential Geometric Retrieval of Deep Features—0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI—0
Domain-invariant feature learning in brain MR imaging for content-based image retrieval—0
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning—0
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis—0
Learning Test-time Augmentation for Content-based Image Retrieval—0
Evidential Transformers for Improved Image Retrieval—0
Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval—0
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning—0
Exploring EEG for Object Detection and Retrieval—0
Fast Dictionary Matching for Content-based Image Retrieval—0
Feature Extraction and Soft Computing Methods for Aerospace Structure Defect Classification—0
Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm—0
Further results on dissimilarity spaces for hyperspectral images RF-CBIR—0
Gabor Barcodes for Medical Image Retrieval—0
Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform—0
Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval—0
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection—0
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings—0
Image Annotation with ISO-Space: Distinguishing Content from Structure—0
Image Retrieval And Classification Using Local Feature Vectors—0
Image Retrieval Based on LBP Pyramidal Multiresolution using Reversible Watermarking—0
Image Retrieval System Base on EMD Similarity Measure and S-Tree—0
Image Retrieval using Histogram Factorization and Contextual Similarity Learning—0
Image Retrieval with a Bayesian Model of Relevance Feedback—0
Kernelized Deep Convolutional Neural Network for Describing Complex Images—0
Knowledge Aware Semantic Concept Expansion for Image-Text Matching—0
Large-margin Learning of Compact Binary Image Encodings—0
Large Scale Deep Convolutional Neural Network Features Search with Lucene—0
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval—0
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling—0
Learning Hash Function through Codewords—0
Learning Non-Metric Visual Similarity for Image Retrieval—0
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval—0
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans—0
Lesion Search with Self-supervised Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94—Unverified