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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 1–50 of 195 papers

TitleStatusHype
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural NetworksCode2
Leveraging Foundation Models for Content-Based Medical Image Retrieval in RadiologyCode1
A clinically motivated self-supervised approach for content-based image retrieval of CT liver imagesCode1
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image MatchingCode1
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote SensingCode1
Contextual Similarity Aggregation with Self-attention for Visual Re-rankingCode1
GPR1200: A Benchmark for General-Purpose Content-Based Image RetrievalCode1
Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold RankingCode1
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
iQPP: A Benchmark for Image Query Performance PredictionCode0
NORPPA: NOvel Ringed seal re-identification by Pelage Pattern AggregationCode0
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image RetrievalCode0
City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD PoolingCode0
Gray Level Co-Occurrence Matrices: Generalisation and Some New FeaturesCode0
CBIR using features derived by Deep LearningCode0
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image RetrievalCode0
Information-Theoretic Active Learning for Content-Based Image RetrievalCode0
Integrating Visual and Semantic Similarity Using Hierarchies for Image RetrievalCode0
SIFT Meets CNN: A Decade Survey of Instance RetrievalCode0
Classification is a Strong Baseline for Deep Metric LearningCode0
OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates DiscoveryCode0
Saliency Map-based Image Retrieval using Invariant Krawtchouk MomentsCode0
Hash Function Learning via CodewordsCode0
Active Learning via Classifier Impact and Greedy Selection for Interactive Image RetrievalCode0
iART: A Search Engine for Art-Historical Images to Support Research in the HumanitiesCode0
Privacy Leakage of SIFT Features via Deep Generative Model based Image ReconstructionCode0
Dual-Path Convolutional Image-Text Embeddings with Instance LossCode0
Content-based image retrieval tutorialCode0
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media ImagesCode0
Automatic Query Image Disambiguation for Content-Based Image RetrievalCode0
Image Super-resolution via Feature-augmented Random ForestCode0
Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and RetrievalCode0
Convex Formulation of Multiple Instance Learning from Positive and Unlabeled BagsCode0
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image RepresentationsCode0
A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval—0
A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images—0
A Fast Content-Based Image Retrieval Method Using Deep Visual Features—0
A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images—0
A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval—0
Advancements in Content-Based Image Retrieval: A Comprehensive Survey of Relevance Feedback Techniques—0
A Comparative Analysis of Retrieval Techniques In Content Based Image Retrieval—0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
Annotation Cost Efficient Active Learning for Content Based Image Retrieval—0
A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval—0
An Improved Relevance Feedback in CBIR—0
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections—0
A new Local Radon Descriptor for Content-Based Image Search—0
A Decade Survey of Content Based Image Retrieval using Deep Learning—0
A Genetic Algorithm Approach for ImageRepresentation Learning through Color Quantization—0
A Bag of Visual Words Model for Medical Image Retrieval—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94—Unverified