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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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Design reuse oriented retrieval of mechanical 3D model using function dimension matching
In the process of modern mechanical product design, retrieval and reuse of the pre-existed 3D CAD models would greatly save time and cost. Mechanical...
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ISHIGAKI Retrieval System Using 3D Shape Matching and Combinatorial Optimization
In April 2016, a massive earthquake with a magnitude of 7.3 struck Kumamoto region, Japan, causing major devastation. One of the structures that were...
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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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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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View-target relation-guided unsupervised 2D image-based 3D model retrieval via transformer
Unsupervised 2D image-based 3D model retrieval aims at retrieving images from the gallery of 3D models by the given 2D images. Despite the...
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Hierarchical Retrieval of Ancient Chinese Character Images Based on Region Saliency and Skeleton Matching
Ancient Chinese characters exhibit characteristics of complex structure and diverse styles. To address the limitations of traditional Chinese...
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Semantically guided projection for zero-shot 3D model classification and retrieval
The most existing methods for 3D model classification and retrieval rely on the fully supervised training scheme, which are prohibitive and...
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ROSA-Net: Rotation-Robust Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which...
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Novel 3D local feature descriptor of point clouds based on spatial voxel homogenization for feature matching
Obtaining a 3D feature description with high descriptiveness and robustness under complicated nuisances is a significant and challenging task in 3D...
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Feature representation for 3D object retrieval based on unconstrained multi-view
Reasonable and accurate image feature representation is the key to successful object retrieval. In this paper, we propose a 3D object feature...
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Sequential learning for sketch-based 3D model retrieval
Sketch-based 3D model retrieval suffers large visual discrepancy between 3D models and 2D sketches. Most existing methods directly project samples...
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Multi-view 3D model retrieval based on enhanced detail features with contrastive center loss
In recent years, 3D model retrieval has become a hot topic. With the development of deep learning technology, many state-of-the-art deep learning...
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3D sketching for 3D object retrieval
Sketching provides the most natural way to provide a visual search query for visual object search. However, how to draw 3D sketches in a...
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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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PESTA: An Elastic Motion Capture Data Retrieval Method
Prevalent use of motion capture (MoCap) produces large volumes of data and MoCap data retrieval becomes crucial for efficient data reuse. MoCap clips...
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Deep learning for video-text retrieval: a review
Video-Text Retrieval (VTR) aims to search for the most relevant video related to the semantics in a given sentence, and vice versa. In general, this...
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Automatic Retrieval of UAV Tilt Image and Image Attitude Recovery
Automatic retrieval of UAV tilt images is a very important task in the field of aerial photography. The main goal behind this task is to capture...
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2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds
Robust local cross-domain feature descriptors of 2D images and 3D point clouds play an important role in 2D and 3D vision applications, e.g....
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Learning visual similarity for image retrieval with global descriptors and capsule networks
Finding matching images across large and unstructured datasets is vital in many computer vision applications. With the emergence of deep...
