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Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching
We propose a Textual Concept Expansion (TCE) approach for creating joint textual-visual embeddings. TCE uses a multi-label classifier that takes a...
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Towards efficient simulation-based constrained temporal graph pattern matching
In the context of searching a single data graph G , graph pattern matching is to find all the occurrences of a pattern graph Q in G , specified by a...
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An improved binocular stereo matching algorithm based on AANet
Stereo matching is an important part of establishing stereo vision. Parallax information obtained by stereo matching directly affects the...
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Total Matching and Subdeterminants
In the total matching problem, one is given a graph G with weights on the vertices and edges. The goal is to find a maximum weight set of vertices...
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MAIM: a mixer MLP architecture for image matching
Recent advances in multilayer perceptron (MLP) models have provided new effective network architecture designs for computer vision tasks. Compared...
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Improving MRI reconstruction with graph search matching pursuit
Nowadays, magnetic resonance imaging (MRI) is the go-to method for safe and effective diagnosis in hospitals. However, it can be slow and costly due...
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UAV scale enhanced cross-modality graph matching net-USCMGM-net
Image matching for cross-modality is always a hotspot and difficulty in the unmanned aerial vehicle (UAV) scene-matching visual navigation. Aiming at...
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biblioverlap: an R package for document matching across bibliographic datasets
Bibliographic databases have long been a cornerstone of scientometrics research, and new information sources have prompted several comparative...
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Grid sampling based hypergraph matching technique for multiple objects tracking in video frames
Multiple Object Tracking (MOT), which is a vibrant research area in computer vision, has many multi-disciplinary applications. The evolution of...
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Video object segmentation through semantic visual words matching
Video object segmentation (VOS) has been widely used in the fields of computer vision. However, existing VOS algorithms have drawbacks, such as...
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LTM: efficient learning with triangular topology constraint for feature matching with heavy outliers
Image feature matching, which aims to establish correspondence between two images, is an important task in computer vision. Among image feature...
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TBNF:A Transformer-based Noise Filtering Method for Chinese Long-form Text Matching
In the field of deep matching, a large amount of noisy data in Chinese long texts affects the matching effect. Most long-form text matching models...
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Command-Line Parsing and Expansion
One of the things that shell programming language does is the parsing of command-line arguments and the expansion it performs on words in the line....
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Progressive Keypoint Localization and Refinement in Image Matching
Image matching is the core of many computer vision applications for cultural heritage. The standard image matching pipeline detects keypoints at the...
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Real-time stereo matching with high accuracy via Spatial Attention-Guided Upsampling
Deep learning-based stereo matching methods have made remarkable progress in recent years. However, it is still a challenging task to achieve high...
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Entity alignment based on informative neighbor sampling and multi-embedding graph matching
Entity alignment is an important and necessary step in the process of knowledge fusion, which aims to match entities with the same meaning in...
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PEB-TAXO: Projecting Entities as Boxes for Taxonomy Expansion
As domain knowledge evolves, new concepts (entities) continuously emerge, leading to a decrease in the coverage of existing taxonomies with...
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Web of Science Core Collection’s coverage expansion: the forgotten Arts & Humanities Citation Index?
The expansion of Web of Science Core Collection (WoSCC) over the recent years has partially accounted for the “norm” of growth of research output in...
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A neuro-fuzzy algorithm for query expansion and information retrieval
Query Expansion (QE) has developed as a critical solution to address the perennial challenges of search accuracy and relevance in the information...
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Fingerprint Matching
This chapter formalizes the fingerprint matching problem, namely finding a similarity between any given fingerprint pair. The requirements of the...