.png){kind=icon}
返回
Multi-view Instance Attention Fusion Network for classification
.png){kind=icon}
OA
AI
DOI：10.1016/j.inffus.2023.101974.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Multi-view learning for classification has achieved a remarkable performance compared with the single-view based methods. Inspired by the instance based learning which directly regards the instance as the prior and well preserves the valuable information in different instances, a Multi-view Instance Attention Fusion Network (MvIAFN) is proposed to efficiently exploit the correlation across both instances and views. Specifically, a small number of instances from different views are first sampled as the set of templates. Given an additional instance and based on the similarities between it and the selected templates, it can be re-presented by following an attention strategy. Thanks for this strategy, the given instance is capable of preserving the additional information from the selected instances, achieving the purpose of extracting the instance-correlation. Additionally, for each sample, we not only perform the instance attention in each single view but also get the attention across multiple views, allowing us to further fuse them to obtain the fused attention for each view. Experimental results on datasets substantiate the effectiveness of our proposed method compared with state-of-the-arts.
Keyword:
Multi-view
Instance learning
Classification
Cross-fusion
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
15.5
论文数:
4.3K
被引数:
2.7W
机构
引用论文
SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin TransformerSwinFusion: 通过Swin变压器进行通用图像融合的跨域远程学习
PREAI
分享收藏Instance selection based on boosting for instance-based learners基于实例的学习者基于boosting的实例选择.png)
PATTERN RECOGNITION
PATTERN RECOGNITIONIF7.6
PREAI
分享收藏Electrical Conductivity of Reproductive Tissue for Detection of Estrus in Dairy Cows用于检测奶牛发情的繁殖组织电导率OAAI
OAAI分享收藏Generative multi-view and multi-feature learning for classification面向分类的生成式多视图多特征学习INFORMATION FUSION
INFORMATION FUSIONIF15.5
PREAI
分享收藏The Revised Observed Tasks of Daily Living: A Performance-Based Assessment of Everyday Problem Solving in Older Adults修订后的观察到的日常生活任务: 基于性能的老年人日常问题解决评估OAAI
OAAI分享收藏
查看更多内容