Results 11 to 20 of about 10,481,137 (284)

Multi-scale Feature Extraction and Fusion for Online Knowledge Distillation

, 2022
Online knowledge distillation conducts knowledge transfer among all student models to alleviate the reliance on pre-trained models. However, existing online methods rely heavily on the prediction distributions and neglect the further exploration of the representational knowledge.
Panpan Zou, Yinglei Teng, Tao Niu
openaire   +5 more sources

A multi-factor collaborative electricity load forecasting method based on feature importance and multi-scale feature extraction

Energy and AI
In power systems, environmental fluctuations and electricity price volatility introduce uncertainties in user energy consumption behaviors, posing significant challenges to reliable energy planning.
Qiao Yan, Wenpeng Cao, Yi Yan, Chengdong Li, Chongyi Tian, Wen Kong   +5 more
doaj   +2 more sources

Multi-scale Visual Feature Extraction and Cross-Modality Alignment for Continuous Sign Language Recognition [PDF]

Jisuanji kexue yu tansuo
Effective representation of visual feature extraction is the key to improving continuous sign language recognition performance. However, the differences in the temporal length of sign language actions and the sign language weak annotation problem make ...
GUO Leming, XUE Wanli, YUAN Tiantian
doaj   +3 more sources

Transformer and Multi-Scale Feature Extraction for Image Classification [PDF]

ITM Web of Conferences
Image classification refers to enabling computers to automatically identify and classify the categories of input images. With the continuous optimization of the Convolutional Neural Network (CNN)structure and its in-depth application in image ...
Yang Yang
doaj   +2 more sources

MSDSANet: Multimodal Emotion Recognition Based on Multi-Stream Network and Dual-Scale Attention Network Feature Representation

Sensors
Aiming at the shortcomings of EEG emotion recognition models in feature representation granularity and spatiotemporal dependence modeling, a multimodal emotion recognition model integrating multi-scale feature representation and attention mechanism is ...
Weitong Sun, Xingya Yan, Yuping Su, Gaihua Wang, Yumei Zhang   +4 more
doaj   +2 more sources

Fault Feature Extraction of Rolling Bearing based on Multi-scale Morphology and SVD

Jixie chuandong, 2015
Aiming at the problems of multi- scale morphological difference filter,a new fault feature extraction method of rolling bearing based on multi- scale morphological difference filter and singular difference spectrum is proposed,which could effectively ...
Liu Peng, Li Hongru, Li Baochen, Xu Baohua   +3 more
doaj   +2 more sources

A Multi-Scale Content-Structure Feature Extraction Network Applied to Gully Extraction

Remote Sensing
Black soil is a precious soil resource, yet it is severely affected by gully erosion, which is one of the most serious manifestations of land degradation.
Feiyang Dong, Jizhong Jin, Lei Li, Heyang Li, Yucheng Zhang   +4 more
doaj   +2 more sources

Application of multi-scale feature fusion algorithm based on motion wearable sensors in feature extraction of sports images

Measurement: Sensors
The utilization of moving image feature extraction in sports teaching has garnered increasing attention. However, traditional feature extraction algorithms often struggle to meet the diverse and complex demands of moving images. To address this challenge,
Jungang Yang, Cao Meng, Li Ling
doaj   +2 more sources

Object Detection in Remote Sensing Images Based on Adaptive Multi-Scale Feature Fusion Method

Remote Sensing
Multi-scale object detection is critical for analyzing remote sensing images. Traditional feature pyramid networks, which are aimed at accommodating objects of varying sizes through multi-level feature extraction, face significant challenges due to the ...
Chun Liu, Sixuan Zhang, Mengjie Hu, Qing Song   +3 more
doaj   +2 more sources

Fault Diagnosis for CNC Machine Tool Feed Systems Based on Enhanced Multi-Scale Feature Network

Lubricants
Despite advances in Convolutional Neural Networks (CNNs) for intelligent fault diagnosis in CNC machine tools, bearing fault diagnosis in CNC feed systems remains challenging, particularly in multi-scale feature extraction and generalization across ...
Peng Zhang, Min Huang, Weiwei Sun
doaj   +2 more sources