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CT and MRI image fusion via multimodal feature interaction network
Computed tomography (CT) and magnetic resonance imaging (MRI) image fusion is a popular technique for integrating information from two different...
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Occlusion relationship reasoning with a feature separation and interaction network
Occlusion relationship reasoning aims to locate where an object occludes others and estimate the depth order of these objects in three-dimensional...
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Preventing Feature Interaction with Optimization Algorithms
Feature interaction (FI) can be defined as a situation in which a feature influences positively or negatively on the behavior of another feature. The...
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Feature subset selection algorithm based on symmetric uncertainty and interaction factor
Since either only one metric is employed or two metrics are adopted and each of them is compared separately to measure redundant features, several...
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EDFIDepth: enriched multi-path vision transformer feature interaction networks for monocular depth estimation
Monocular depth estimation (MDE) aims to predict pixel-level dense depth maps from a single RGB image. Some recent approaches mainly rely on...
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Emotion-wise feature interaction analysis-based visual emotion distribution learning
Image emotion is not exclusive, which makes emotion distribution learning more meaningful than emotion classification for visual emotion recognition....
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Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance
In sentiment analysis of microblogs that involve social relationships, a common approach is to expand the features of target microblogs using...
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Dynamic interaction-based feature selection algorithm for maximal relevance minimal redundancy
In feature selection, distinguishing the redundancy and dependency relationships between features is a challenging task. In recent years, scholars...
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FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks
To solve the information overload issue and enhance the user experience of various web applications, recommender systems aim to better model user...
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Emotion recognition with attention mechanism-guided dual-feature multi-path interaction network
Electroencephalography (EEG)-based emotion recognition has gained widespread attention recently. Although many deep learning methods have been...
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A Dynamic Feature Interaction Framework for Multi-task Visual Perception
Multi-task visual perception has a wide range of applications in scene understanding such as autonomous driving. In this work, we devise an efficient...
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Feature channel interaction long-tailed image classification model based on dual attention
In the real world, the data distribution often presents a long tail distribution, and the imbalance of data will lead to the model learning bias to...
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Few-shot object detection with dense-global feature interaction and dual-contrastive learning
Few-shot object detection (FSOD) aims to detect novel objects quickly from extremely few annotated examples of previously unseen classes. Most...
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ScaleNet: Rethinking Feature Interaction from a Scale-Wise Perspective for Medical Image Segmentation
Recently, vision transformers have become outstanding segmentation structures for their remarkable global modeling capability. In current...
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Attention-Based Feature Interaction Deep Factorization Machine for CTR Prediction
Click-Through Rate (CTR) prediction is widely used in many fields, such as web search, recommender systems, etc. Recently, the CTR prediction model...
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Local and Global Feature Interaction Network for Endoscope Image Classification
Convolutional Neural Network (CNN) shows great performance in the field of endoscopic image classification in past few years. It can capture local...
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Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction
Cognitive diagnosis is a fundamental task in educational data mining that aims to discover students’ proficiency in knowledge concepts. Neural...
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CMFG: Cross-Model Fine-Grained Feature Interaction for Text-Video Retrieval
As a fundamental task in the multimodal domain, text-to-video retrieval task has received great attention in recent years. Most of the current...
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Human–object interaction recognition based on interactivity detection and multi-feature fusion
Human–object interaction (HOI) recognition is a computer vision task that detects the relationship between human and surrounding objects. Though...
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PV-RCNN++: semantical point-voxel feature interaction for 3D object detection
Large imbalance often exists between the foreground points (i.e., objects) and the background points in outdoor LiDAR point clouds. It hinders...
