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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 26–50 of 195 papers

TitleStatusHype
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval—0
A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval—0
iQPP: A Benchmark for Image Query Performance PredictionCode0
Content-Based Medical Image Retrieval with Opponent Class Adaptive Margin Loss—0
Multimorbidity Content-Based Medical Image Retrieval Using Proxies—0
Bridging the Gap between Local Semantic Concepts and Bag of Visual Words for Natural Scene Image Retrieval—0
Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval—0
Satellite Image Search in AgoraEO—0
A clinically motivated self-supervised approach for content-based image retrieval of CT liver imagesCode1
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval—0
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans—0
NORPPA: NOvel Ringed seal re-identification by Pelage Pattern AggregationCode0
Constrained Mass Optimal Transport—0
Deep Features for CBIR with Scarce Data using Hebbian Learning—0
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image MatchingCode1
Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application—0
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection—0
A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images—0
A Novel Framework to Jointly Compress and Index Remote Sensing Images for Efficient Content-Based Retrieval—0
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image RepresentationsCode0
GPR1200: A Benchmark for General-Purpose Content-Based Image RetrievalCode1
Contextual Similarity Aggregation with Self-attention for Visual Re-rankingCode1
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94—Unverified