Results 1 to 10 of about 10,481,137 (284)

Hyperspectral Image Classification with Multi-Scale Feature Extraction [PDF]

Remote Sensing, 2019
Spectral features cannot effectively reflect the differences among the ground objects and distinguish their boundaries in hyperspectral image (HSI) classification.
Bing Tu, Nanying Li, Leyuan Fang, Danbing He, Pedram Ghamisi   +4 more
doaj   +5 more sources

Aspect-level multimodal sentiment analysis model based on multi-scale feature extraction [PDF]

Scientific Reports
In existing multimodal sentiment analysis methods, only the last layer output of BERT is typically used for feature extraction, neglecting abundant information from intermediate layers.
Bocheng Miao, Changbo Xu
doaj   +3 more sources

Hierarchical Refined Composite Multi-Scale Fractal Dimension and Its Application in Feature Extraction of Ship-Radiated Noise

Remote Sensing, 2023
The fractal dimension (FD) is a classical nonlinear dynamic index that can effectively reflect the dynamic transformation of a signal. However, FD can only reflect signal information of a single scale in the whole frequency band.
Yuxing Li, Lili Liang, Shuai Zhang
doaj   +4 more sources

MsGf: A Lightweight Self-Supervised Monocular Depth Estimation Framework with Multi-Scale Feature Extraction [PDF]

Sensors
Monocular depth estimation is an essential component in computer vision that enables 3D scene understanding, with critical applications in autonomous driving and augmented reality.
Xinxing Tian, Zhilin He, Yawei Zhang, Fengkai Liu, Tianhao Gu   +4 more
doaj   +3 more sources

A method for identifying gully-type debris flows based on adaptive multi-scale feature extraction

Geomatics, Natural Hazards & Risk
Rapid and accurate identification of gully-type debris flows is vital for safeguarding lives and property in mountainous regions. To address the issues of inaccurate and insufficient gully feature extraction, we propose a dual-branch feature extraction ...
Qiuyu Liu, Ting Wang, Zhijie Zheng, Baoyun Wang   +3 more
doaj   +3 more sources

Single-Stage Object Detection Algorithm Based on Dilated Convolution and Feature Enhancement [PDF]

Jisuanji gongcheng, 2021
The shallow feature map of the object detection algorithm based on Convolutional Neural Network(CNN) lacks semantic information,while the deep feature map lacks detailed information.In order to fully exploit shallow and deep feature maps and solve the ...
JIANG Jun, ZHAI Donghai
doaj   +1 more source

TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis

Complex & Intelligent Systems
Multimodal sentiment analysis (MSA) is crucial in human-computer interaction. Current methods use simple sub-models for feature extraction, neglecting multi-scale features and the complexity of emotions.
Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu   +3 more
doaj   +2 more sources

A comparative study of four types of multi-scale entropies in feature extraction of underwater acoustic signals for potential GNSS positioning applications

Frontiers in Physics, 2022
The combination of underwater acoustic processing and the Global Navigation Satellite System (GNSS) has achieved remarkable economic benefits in offshore operations.
Danning Zhao, Danning Zhao, Danning Zhao, Yu Lei, Jinsong Xu, Hongbing Cai   +5 more
doaj   +1 more source

MSFRNet: Two‐stream deep forgery detector via multi‐scale feature extraction

IET Image Processing, 2023
Face forgery represented by DeepFake technique has raised severe societal concerns. Due to the different scales of tampering traces and the different resolutions of face images, adopting common processing pipelines and standard form of convolutional ...
Miaomiao Yu, Jun Zhang, Shuohao Li, Jun Lei   +3 more
doaj   +1 more source

Traffic Sign Detection Based on Multi-Scale Feature Extraction and Feature Fusion [PDF]

Jisuanji gongcheng, 2022
The traffic sign detection algorithm based on Convolutional Neural Networks (CNN) cannot easily solve localization and classification tasks simultaneously when detecting traffic signs in actual complex traffic scene images.
ZHANG Yongliang, LU Yang, ZHU Wuqiang, WEI Xing, WEI Zhen
doaj   +1 more source