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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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5 results for “CBIR”

A clinically motivated self-supervised approach for content-based image retrieval of CT liver imagescs.CV

Self-supervised method improves CBIR of CT liver images.

problem Limited labeled data and lack of transparency in deep CBIR systems.

method Proposes a self-supervised learning framework with domain-knowledge integration.

result Improved performance and generalization across datasets.

self-supervised learning CBIR CT liver images explainability unlabeled data

2022-07-11abs ↗pdf ↗

CBIR using features derived by Deep Learningcs.IR

Deep learning features improve CBIR system performance.

problem Retrieving similar images from a large database.

method Using features from pre-trained deep learning models for similarity retrieval.

result Significantly superior retrieval results compared to traditional methods.

CBIR Deep Learning Feature Extraction Image Retrieval Semantic Gap

2020-02-13abs ↗pdf ↗

Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representationcs.IR

System converts 3D lung nodule images into embeddings for retrieval.

problem Retrieving similar 3D lung nodule images for radiologist decision support.

method 3D deep learning, semantic representation, transfer learning, similarity score.

result System can measure similarity between nodule annotations and CBIR results.

3D deep learning semantic representation lung nodule retrieval content-based retrieval transfer learning

2020-07-11abs ↗pdf ↗

An Improved Relevance Feedback in CBIRcs.IR

This paper improves image retrieval accuracy through novel relevance feedback methods.

problem Improving image retrieval accuracy in Content-Based Image Retrieval (CBIR).

method Novel addition to feature re-weighting and classification techniques, focusing on 0-th iteration improvement.

result Significantly improved retrieval accuracy from relevance feedback.

relevance feedback content-based image retrieval image retrieval accuracy novel methods

2020-06-21abs ↗pdf ↗

Pair-Wise Cluster Analysisstat.ML

This paper studies the problem of learning clusters which are consistently present in different (continuously valued) representations of observed data. Our setup differs slightly from the standard approach of (co-) clustering as we use the fact that some form of `labeling' becomes available in this setup: a cluster is …

2010-09-19abs ↗pdf ↗