Papers Content-Based Image Retrieval
“Content-Based Image Retrieval” 태그가 달린 논문 203편 · 필터 해제
Training-Free Pseudo-Fusion for Composed Image Retrieval with Diffusion Models and Multimodal Large Language Models
Composed Image Retrieval (CIR) is an emerging paradigm in content-based image retrieval that enables users to formulate compositional queries by combining a reference image with an auxiliary modality, usually text-based.…
Content-Based Image RetrievalGeometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval
Content-based image retrieval (CBIR) systems enable users to search images based on visual content instead of relying on metadata. The text domain has benefited from vector search of representations created with unsuperv…
Content-Based Image RetrievalSelf-Supervised LearningSemantic RetrievalEvaluating the Impact of Data Anonymization on Image Retrieval
With the growing importance of privacy regulations such as the General Data Protection Regulation, anonymizing visual data is becoming increasingly relevant across institutions. However, anonymization can negatively affe…
Content-Based Image RetrievalToward a Universal Color Naming System: A Clustering-Based Approach using Multisource Data
Is it coral, salmon, or peach? What seems like a simple color can have many names, and without a standard, these variations create confusion across design, technology, and communication. Color naming is a fundamental tas…
Content-Based Image RetrievalAcquisition of interpretable domain information during brain MR image harmonization for content-based image retrieval
Medical images like MR scans often show domain shifts across imaging sites due to scanner and protocol differences, which degrade machine learning performance in tasks such as disease classification. Domain harmonization…
Content-Based Image RetrievalRepresentation LearningImage ReconstructionImage HarmonizationCSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Self-supervised learning (SSL) through masked autoencoders (MAEs) has recently attracted great attention for remote sensing (RS) foundation model (FM) development, enabling improved representation learning across diverse…
Content-Based Image RetrievalSelf-Supervised LearningComputational EfficiencyRepresentation LearningGrounding Multimodal Large Language Models with Quantitative Skin Attributes: A Retrieval Study
Artificial Intelligence models have demonstrated significant success in diagnosing skin diseases, including cancer, showing the potential to assist clinicians in their analysis. However, the interpretability of model pre…
Content-Based Image RetrievalContent-based 3D Image Retrieval and a ColBERT-inspired Re-ranking for Tumor Flagging and Staging
The increasing volume of medical images poses challenges for radiologists in retrieving relevant cases. Content-based image retrieval (CBIR) systems offer potential for efficient access to similar cases, yet lack standar…
Content-Based Image RetrievalClass Agnostic Instance-level Descriptor for Visual Instance Search
Despite the great success of the deep features in content-based image retrieval, the visual instance search remains challenging due to the lack of effective instance level feature representation. Supervised or weakly sup…
Content-Based Image RetrievalImage RetrievalInstance SearchObject+3A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation
Performance evaluation for Content-Based Image Retrieval (CBIR) remains a crucial but unsolved problem today especially in the medical domain. Various evaluation metrics have been discussed in the literature to solve thi…
Content-Based Image RetrievalDescriptiveImage RetrievalKnowledge Graphs+2OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery
Oracle Bone Inscription (OBI) is the earliest systematic writing system in China, while the identification of Oracle Bone (OB) duplicates is a fundamental issue in OBI research. In this work, we design a progressive OB d…
Content-Based Image RetrievalImage RetrievalRetrievalREJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
The rapid expansion of remote sensing image archives demands the development of strong and efficient techniques for content-based image retrieval (RS-CBIR). This paper presents REJEPA (Retrieval with Joint-Embedding Pred…
Computational EfficiencyContent-Based Image RetrievalImage RetrievalRetrievaliCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings
Current methods for searching brain MR images rely on text-based approaches, highlighting a significant need for content-based image retrieval (CBIR) systems. Directly applying 3D brain MR images to machine learning mode…
Content-Based Image RetrievalImage RetrievalRetrievalDomain-invariant feature learning in brain MR imaging for content-based image retrieval
When conducting large-scale studies that collect brain MR images from multiple facilities, the impact of differences in imaging equipment and protocols at each site cannot be ignored, and this domain gap has become a sig…
Content-Based Image RetrievalDomain AdaptationImage RetrievalRetrievalActive Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Active Learning (AL) is a user-interactive approach aimed at reducing annotation costs by selecting the most crucial examples to label. Although AL has been extensively studied for image classification tasks, the specifi…
Active LearningBinary ClassificationContent-Based Image Retrievalimage-classification+3Saliency Map-based Image Retrieval using Invariant Krawtchouk Moments
With the widespread adoption of digital devices equipped with cameras and the rapid development of Internet technology, numerous content-based image retrieval systems and novel image feature extraction techniques have em…
Content-Based Image RetrievalImage RetrievalRetrievalContent-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy
The morphologies of astronomical sources are highly complex, making it essential not only to classify the identified sources into their predefined categories but also to determine the sources that are most similar to a g…
AstronomyContent-Based Image RetrievalImage RetrievalRetrievalCBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis
Content-Based Image Retrieval (CBIR) have shown promising results in the field of medical diagnosis, which aims to provide support to medical professionals (doctor or pathologist). However, the ultimate decision regardin…
Content-Based Image RetrievalDiagnosticImage RetrievalInformation Retrieval+1Evidential Transformers for Improved Image Retrieval
We introduce the Evidential Transformer, an uncertainty-driven transformer model for improved and robust image retrieval. In this paper, we make several contributions to content-based image retrieval (CBIR). We incorpora…
Content-Based Image RetrievalImage RetrievalMetric LearningRetrievalOn Validation of Search & Retrieval of Tissue Images in Digital Pathology
Medical images play a crucial role in modern healthcare by providing vital information for diagnosis, treatment planning, and disease monitoring. Fields such as radiology and pathology rely heavily on accurate image inte…
Content-Based Image RetrievalDiagnosticImage RetrievalManagement+1