Multi-scale featuresMUSENILM modelSmart gridTime series data? 2024 Elsevier B.V.This paper presents the MUSENILM model, a non-intrusive load decomposition model incorporating a parallel multi-scale attention mechanism to enhance energy monitoring and management in smart grids. The core innovation of ...
The proposed model utilizes GAI-based Attention Mechanism for Multi-scale Convolution Parallel Model to classify and select music based on low-level information extracted from preprocessed Mel-spectrograms using Mel-frequency cepstral coefficients (MFCCs). The competitiveness of the proposed approach is ...
Based on U-Net, combined with multi-scale idea and attention mechanism, we designed a new segmentation model. We tested this method on the public datasets, calculated the segmentation metrics and compared several advanced semantic segmentation methods. The experimental results showed that our method ...
In order to improve the detection accuracy of the network, it proposes multi-scale feature fusion and attention mechanism net (MFANet) based on deep learning, which integrates pyramid module and channel attention mechanism effectively. Pyramid module is designed for feature fusion in the channel and...
First, an attention mechanism block is introduced to construct a new type of residual block combination. Second, a multi-scale structure is constructed by choosing an appropriate convolution kernel size. Finally, the overall framework of MSA-ResNet is constructed for efficient training and failure ...
The CRA block is introduced, which combines an attention mechanism with residual and skip connections to better capture multi-scale feature information and improve feature fusion, leading to increased awareness of general aspects and finer details. ...
To address this problem, we adopt an attention mechanism to predict how to combine multi-scale predictions togetherat a pixel level, similar to the method proposed by Chen et. al. [1]. (1)We propose a hierarchical attention mechanismby which the network learns to predict a relative weighting...
Melanoma segmentation based on a convolutional neural network (CNN) has recently attracted extensive attention. However, the features captured by CNN are always local that result in discontinuous feature extraction. To solve this problem, we propose a novel multiscale feature fusion network (MSFA-Net...
Facial expression recognition based on multi-scale feature fusion and attention mechanism[J]. Microelectronics & Computer, 2022, 39(3): 34-40. DOI: 10.19304/J.ISSN1000-7180.2021.0799 Citation: SHI Hao, XING Yuhang, CHEN Lian. Facial expression recognition based on multi-scale feature fusion ...
we propose a multi-scale attention network (MSAN) by cascading multiple multi-scale attention blocks (MSAB), each of which integrates a multi-scale cross block (MSCB) and a multi-path wide-activated attention block (MWAB). Specifically, MSCB initially connects three parallel convolutions with di...