Multi-Modal Attention Network Learning for Semantic Source Code Retrieval,题目意思是用于语义源代码检索的多模态注意网络学习,2019年发表于ASE的 ## 研究什么东西 Background: 研究代码检索技术,对于一个代码存储库进行方法级别的搜索,给定一个描述代码片段功能的短文,从代码存储库中检索特定的代码片段。 论文挑战和...
论文地址:MAF-YOLO: Multi-modal attention fusion based YOLO for pedestrian detection - ScienceDirect 中科院分区: 3区 作者: Yongjie Xue , Zhiyong Ju, Yuming Li, Wenxin Zhang 单位:上海理工大学光电与计算机工程学院 研究目的 该文献旨在通过提出一种基于多模态注意力融合的YOLO模型(MAF-YOLO),来改善自然环...
To tackle these challenges, we propose transformer-based interactive multi-modal attention network to investigate multi-modal paired attention between multiple modalities and utterances for video sentiment detection. Specifically, we first take a series of utterances as input and use three separate ...
1.作者提出了Multi-Modal Mutual Attention(M^3Att) 和Multi-Model Mutual Decoder(M^3Dec) 以实现多模态信息的处理和融合,并在此基础上搭建了referring segmentation框架; 2.作者提出了Iterative Multi-Modal Interaction(IMI) 和 Language Feature Reconstruction (LFR)模块以实现深度多模态交互; 3.在RefCOCO数据集...
Attention deficit/hyperactivity disorder is associated with numerous neurocognitive deficits including poor working memory and difficulty inhibiting undesirable behaviors that cause academic and behavioral problems in children. Prior work has attempted to determine how these differences are instantiated in the ...
Image Attention Filter的目的在于“directly applied to change the attention scale between image and text”,即根据图片相关性进行数值控制。 其中s0s0是decoder的初始状态,q是图片全局特征,这两个参数用来表示图片相关性;st−1st−1是decoder上一个time step的状态,用来表示与下一个单词的联系。
Temporal attentionBand attentionMulti-modal fusionEmotion recognition is a key problem in Human-Computer Interaction (HCI). The multi-modal emotion recognition... J Liu,Y Su,Y Liu - Springer, Cham 被引量: 2发表: 2017年 Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional ...
In this work, we propose an architecturally simple fusion strategy that uses multi-head self-attention to combine medical images and questions of the VQA-Med dataset of the ImageCLEF 2019 challenge. The model captures long-range dependencies between input modalities using the attention mechanism of ...
We propose an attention based multimodal fusion architecture for Video Question Answering (AMF-VQA) that uses attention mechanism at every time to output a word. Such kind of mechanism allows the model to focus on different frames as well as focus on different modalities while outputting every ...
Classification: 同样还是将图像、视频和音频异构信息一起输入,得到视频分类的结果。情感分类:1ContextualInter-modalAttentionforMulti-modal... PracticesforMulti-modalFusionin Large-scale Video Classification: 将视频和代表性的音频文件一起输入进行视频分类。2 ...