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Visible-infrared image patch matching based on attention mechanism
Image matching has a wide range of applications in computer vision. Existing image matching is mostly used for homologous images. In the matching of...
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KRL_Match: knowledge graph objects matching for knowledge representation learning
The way of obtaining the embeddings of the knowledge graph objects through modeling with binary classification method from the level of triple...
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Exploring the Usage of Pre-trained Features for Stereo Matching
For many vision tasks, utilizing pre-trained features results in improved performance and consistently benefits from the rapid advancement of...
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Seeing both sides: context-aware heterogeneous graph matching networks for extracting-related arguments
Our research focuses on extracting exchanged views from dialogical documents through argument pair extraction (APE). The objective of this process is...
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Arbitrary style transfer method with attentional feature distribution matching
Most arbitrary style transfer methods only consider transferring the features of the style and content images. Although the pixel-wise style transfer...
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Kernel based local matching network for video object segmentation
Recently, the methods based on space-time memory network have achieved advanced performance in semi-supervised video object segmentation, which has...
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Recurrent convolutional model based on gated spiking neural P system for stereo matching networks
The rapid development of deep learning techniques has introduced extensive research improvements to various aspects in the processing pipeline of the...
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Ensemble Quadratic Assignment Network for Graph Matching
Graph matching is a commonly used technique in computer vision and pattern recognition. Recent data-driven approaches have improved the graph...
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Supervised biadjacency networks for stereo matching
Convolutional neural network (CNN) based stereo matching methods using cost volume techniques have gained prominence in stereo matching....
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Matching Compound Prototypes for Few-Shot Action Recognition
The task of few-shot action recognition aims to recognize novel action classes using only a small number of labeled training samples. How to better...
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Multi-scale motivated neural network for image-text matching
Existing mainstream image-text matching methods usually measure the relevance of image-text pairs by capturing and aggregating the affinities between...
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MatchACNN: A Multi-Granularity Deep Matching Model
This paper discusses a deep learning approach to ranking relevance in information retrieval (IR). In recent years, deep neural networks have led to...
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HyperMatch: long-form text matching via hypergraph convolutional networks
Semantic text matching plays a vital role in diverse domains, such as information retrieval, question answering, and recommendation. However, longer...
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Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion
The recently proposed DEtection TRansformer (DETR) has established a fully end-to-end paradigm for object detection. However, DETR suffers from slow...
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Mechanism Design for Mobility
This chapter presents the development of matching theory toward implementing the next-generation car-sharing systems, consisting of three topics: (1)...
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Accelerating similarity-based model matching using dual hashing
Similarity-based model matching is the cornerstone of model versioning. It pairs model elements based on a distance metric (e.g., edit distance)....
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Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision
Although neural approaches have yielded state-of-the-art results in the sentence matching task, their performance inevitably drops dramatically when...
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Group-to-group recommendation with neural graph matching
Nowadays, with the development of recommender systems, an emerging recommendation scenario called group-to-group recommendation has played a vital...
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FeMIP: detector-free feature matching for multimodal images with policy gradient
Feature matching for multimodal images is an important task in image processing. However, most methods perform image feature detection, description,...
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Local feature matching from detector-based to detector-free: a survey
Local feature matching has been a critical task in computer vision applications. In the early days of computer vision, local feature matching relied...
