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Prototype-based semantic consistency learning for unsupervised 2D image-based 3D shape retrieval
In this paper, we study the task of unsupervised 2D image-based 3D shape retrieval (UIBSR), which aims to retrieve unlabeled shapes (target domain)...
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Incremental image retrieval method based on feature perception and deep hashing
How to propose an image retrieval algorithm with adaptable model and wide range of applications for large-scale datasets has become a critical...
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A modified similarity measurement for image retrieval scheme using fusion of color, texture and shape moments
In this paper, a simple feature fusion scheme is proposed for content-based image retrieval (CBIR) using color, texture and shape feature moments....
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Shape embedding and retrieval in multi-flow deformation
We propose a unified 3D flow framework for joint learning of shape embedding and deformation for different categories. Our goal is to recover shapes...
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A comparative study on facial image retrieval using local patterns
Retrieving similar images from a dataset of images is always challenging for researchers, and it becomes more challenging under critical conditions...
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Novel Content Based Image Retrieval—Features of Correlated Visual Textons and MQLPP Descriptor
Content-based image retrieval (CBIR) has made significant advancements and continues to evolve with the rapid development of computer vision and...
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Feature Extraction in Medical Image Retrieval A New Design of Wavelet Filter Banks
Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain...
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Medical image retrieval using a novel local relative directional edge pattern and Zernike moments
The traditional annotation-based medical image retrieval faces a problem with competence and precision with the extensive medical image databases....
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Universal unsupervised cross-domain 3D shape retrieval
Most existing cross-domain 3D shape retrieval (CD3DSR) methods have assumed the setting of a fixed kind of query set (source domain), and all the...
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Content Based Medical Image Retrieval
Modern healthcare relies heavily on medical imaging, and as a result of its extensive use, image databases, picture archiving, and picture...
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Image retrieval based on deep Tamura feature descriptor
Various levels of visual features have different effects in image retrieval, and deep features can express higher-level features or semantic...
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Improved biharmonic kernel signature for 3D non-rigid shape matching and retrieval
Object retrieval, in particular 3D shape retrieval, recently has many applications such as molecular biology, medical research and computer-aided...
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Optimized transfer learning based multi-modal medical image retrieval
Disease diagnosis using the medical image is a very technical and tedious process. Small abnormalities in multiple medical images could be noticed by...
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Fabric image retrieval based on multi-modal feature fusion
With the increasing of multi-source heterogeneous data, flexible retrieval across different modalities is an urgent demand in industrial...
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Cross-modal fabric image-text retrieval based on convolutional neural network and TinyBERT
The repaid renewal of fabric products increases the difficulty of retrieving existing products in enterprises. The unimodal retrieval methods can...
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Spatially aligned sketch-based fine-grained 3D shape retrieval
Fine-grained 3D shape retrieval supports finding a specific 3D model to serve VR/AR applications. Sketches can convey concepts that are difficult to...
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Privacy-preserving image retrieval based on additive secret sharing in cloud environment
With the development of cloud computing, more and more resource constrained data owners tend to store their images in the cloud and rely on image...
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Enhancing image retrieval through entropy-based deep metric learning
The increasing demand for effective retrieval from image datasets has been driven by the rapid growth of digital images. Image retrieval is a method...
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Research on product appearance patent spatial shape recognition for multi-image feature fusion
In the process of patent retrieval, the traditional content-based single image retrieval method mainly has the following two reasons: a) semantic...
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Efficient rotated and scaled digital image retrieval model using deep learning-based hybrid features extraction
The previous couple decades have seen extensive study in digital image recovery. Content-based image retrieval finds intellectually and aesthetically...
