Multilevel Attention and Multiscale Feature Fusion Network for Author Classification of Chinese Ink-Wash Paintings
How to effectively extract features with high representation ability has always been a research topic and a challenge for classification tasks. Most of the existing methods mainly solve the problem by using deep convolutional neural networks as feature extractors. Although a series of excellent netw...
Saved in:
Main Authors: | Wei Jiang, Xianglian Meng, Ji Xi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2022/9188356 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification
by: Aili Wang, et al.
Published: (2025-01-01) -
Multiscale Receptive Fields Graph Attention Network for Point Cloud Classification
by: Xi-An Li, et al.
Published: (2021-01-01) -
A Parallel Image Denoising Network Based on Nonparametric Attention and Multiscale Feature Fusion
by: Jing Mao, et al.
Published: (2025-01-01) -
Petrochemical Equipment Detection by Improved Yolov5 with Multiscale Deep Feature Fusion and Attention Mechanism
by: Zhenqiang Wei, et al.
Published: (2022-01-01) -
Enhancing Medical Image Classification With Context Modulated Attention and Multi-Scale Feature Fusion
by: Renhan Zhang, et al.
Published: (2025-01-01)