Feature Fusion Framework Combining Attention Mechanism and Geometric Information
The imbalanced problem is common in the real world,and the highly-skewed distribution of imbalanced data seriously affects the performance of the model.In general,the imbalanced data affects the model performance from two aspects.On the one hand,the imbalance in sample size leads to more updates of...
Main Author: | DONG Qi-da, WANG Zhe, WU Song-yang |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial office of Computer Science
2022-05-01
|
Series: | Jisuanji kexue |
Subjects: | |
Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-5-129.pdf |
Similar Items
-
Reducing Redundancy in Maps without Lowering Accuracy: A Geometric Feature Fusion Approach for Simultaneous Localization and Mapping
by: Feiya Li, et al.
Published: (2023-06-01) -
Micro-expression Recognition Method Combining Feature Fusion and Attention Mechanism
by: LI Xing-ran, ZHANG Li-yan, YAO Shu-jing
Published: (2022-02-01) -
Object Detection by Attention-Guided Feature Fusion Network
by: Yuxuan Shi, et al.
Published: (2022-04-01) -
Multi-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features
by: Qinglang Guo, et al.
Published: (2023-10-01) -
Remote Sensing Change Detection Based on Feature Fusion and Attention Network
by: LAN Ling-xiang, CHI Ming-min
Published: (2022-06-01)