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 1–25 of 195 papers

TitleStatusHype
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural NetworksCode2
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold RankingCode1
A clinically motivated self-supervised approach for content-based image retrieval of CT liver imagesCode1
Leveraging Foundation Models for Content-Based Medical Image Retrieval in RadiologyCode1
Contextual Similarity Aggregation with Self-attention for Visual Re-rankingCode1
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote SensingCode1
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image MatchingCode1
GPR1200: A Benchmark for General-Purpose Content-Based Image RetrievalCode1
Integrating Visual and Semantic Similarity Using Hierarchies for Image RetrievalCode0
Image Super-resolution via Feature-augmented Random ForestCode0
iART: A Search Engine for Art-Historical Images to Support Research in the HumanitiesCode0
Information-Theoretic Active Learning for Content-Based Image RetrievalCode0
iQPP: A Benchmark for Image Query Performance PredictionCode0
Classification is a Strong Baseline for Deep Metric LearningCode0
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media ImagesCode0
Convex Formulation of Multiple Instance Learning from Positive and Unlabeled BagsCode0
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image RepresentationsCode0
Active Learning via Classifier Impact and Greedy Selection for Interactive Image RetrievalCode0
Content-based image retrieval tutorialCode0
CBIR using features derived by Deep LearningCode0
Dual-Path Convolutional Image-Text Embeddings with Instance LossCode0
Gray Level Co-Occurrence Matrices: Generalisation and Some New FeaturesCode0
Hash Function Learning via CodewordsCode0
Automatic Query Image Disambiguation for Content-Based Image RetrievalCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LHRRMAP90.94—Unverified