Semantic‐enhanced multimodal fusion network for fake news detection
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23084
Abstract: The increasing popularity of social media facilitates the propagation of fake news, posing a major threat to the government and journalism, and thereby making how to detect fake news from social media an urgent requirement.… read more here.
Keywords: news; multimodal fusion; fusion network; fake news ... See more keywords
Structure-aware fusion network for 3D scene understanding
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2021.07.012
Abstract: Abstract In this paper, we propose a Structure-Aware Fusion Network (SAFNet) for 3D scene understanding. As 2D images present more detailed information while 3D point clouds convey more geometric information, fusing the two complementary data… read more here.
Keywords: structure aware; scene understanding; point clouds; fusion network ... See more keywords
Multi-Component Fusion Network for Small Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939488
Abstract: Small object detection is a major challenge in the field of object detection. With the development of deep learning, many methods based on deep convolutional neural networks (DCNNs) have greatly improved the speed of detection… read more here.
Keywords: remote sensing; fusion network; object detection; small object ... See more keywords
Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3257051
Abstract: Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global, or spectral context information for HSI denoising. However,… read more here.
Keywords: network; fusion; multiscale adaptive; fusion network ... See more keywords
FDFNet: A Fusion Network for Generating High-Resolution Fully PolSAR Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3127958
Abstract: Deep learning shows potential superiority in the image fusion field. To solve the problem of the spatial resolution degradation of polarimetric synthetic aperture radar (PolSAR) images caused by system limitation, we propose a fully PolSAR… read more here.
Keywords: fusion network; resolution; polsar images; fully polsar ... See more keywords
GFNet: Gate Fusion Network With Res2Net for Detecting Salient Objects in RGB-D Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.2993471
Abstract: The performance of recent RGB-D salient object detectors has significantly improved owing to their integration of convolutional neural networks (CNNs). However, most existing salient object detection (SOD) methods represent features using a VGGNet backbone, which… read more here.
Keywords: res2net; fusion network; gate; gate fusion ... See more keywords
Multiscale Convolutional Fusion Network for Non-Lambertian Photometric Stereo
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3031482
Abstract: One of the key issues in photometric stereo is the extension of its application in real world objects which shows non-Lambertian reflectance. This letter proposes a multi-scale weighted convolutional fusion network with deep learning architecture… read more here.
Keywords: photometric stereo; convolutional fusion; fusion network; non lambertian ... See more keywords
AM³Net: Adaptive Mutual-Learning-Based Multimodal Data Fusion Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3148257
Abstract: Multimodal data fusion, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR) data fusion, plays an important role in object recognition and classification tasks. However, existing methods pay little attention to the specificity of… read more here.
Keywords: fusion; mutual learning; fusion network; multimodal data ... See more keywords
Prediction of Vertical Profile of NO₂ Using Deep Multimodal Fusion Network Based on the Ground-Based 3-D Remote Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3061476
Abstract: The vertical distribution profiles of NO2 are essential for understanding the mechanisms, detecting near-surface emissions, and tracking pollutant transportation at high altitude. However, most of the published NO2 studies are based on the surface 2-D… read more here.
Keywords: based remote; ground based; fusion network; remote sensing ... See more keywords
A Deep Siamese Postclassification Fusion Network for Semantic Change Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3171067
Abstract: Semantic change detection (SCD) aims to recognize land cover transitions from remote sensing images of the given scene acquired at different times. The semantic change maps produced by SCD can provide not only the locations… read more here.
Keywords: fusion; fusion network; change; postclassification ... See more keywords
Pansharpening via Frequency-Aware Fusion Network with Explicit Similarity Constraints
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3281829
Abstract: The process of fusing a high spatial resolution (HR) panchromatic (PAN) image and a low spatial resolution (LR) multispectral (MS) image to obtain an HRMS image is known as pansharpening. With the development of convolutional… read more here.
Keywords: fusion; aware fusion; fusion network; similarity ... See more keywords