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...
motivation:现有的方法只将文本输入用于计算attention weight,而没有将文本输出完全融合到输出中,输出由视觉信息主导。目前的单模态注意力机制无法实现对两个模态的充分融合和理解。 contribution: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...
A. Fink. A multi-modal attention system for smart environments. In Computer Vision Systems, volume 5815 of LNCS, pages 73-83. Springer Berlin / Heidelberg, 2009.Schauerte, B., Plo¨tz, T., and Fink, G. A. A multi-modal attention system for smart environments. In ICVS (2009). To ...
We propose a novel multi-modal attention mechanism, cLSTM-MMA, which facilitates the attention across three modalities and selectively fuse the information. cLSTM-MMA is fused with other uni-modal sub-networks in the late fusion. The experiments show that speech emotion recognition benefits ...
In this paper, a real-time pedestrian detection method using a novel multi-modal attention fusion YOLO (MAF-YOLO) was proposed. Firstly, a multi-modal feature extraction module based on the compressed Darknet53 framework was built to adapt the nighttime pedestrian detection and ensure efficiency....
Multi-Head Modality Attention 前面得到的encoder 隐层He输入到 decoder 中得到的隐层Hd,把上一层的隐层Hd-1,先进行mulit-head self-attention, 得到结果Cd,和上一步的 encoder隐层 He 进行Attention, 得到从解码器到编码器的三个上下文序列, 然后 对attention 后的结果Cd->e再进行mulit-head Attention 得到每...
《Multi-modal global- and local- feature interaction with attention-based mechanism for diagnosis of Alzheimer’s disease》 -2024.9 本文提出了一种新的多模态学习框架,用于提高阿尔茨海默病(Alzheimer's disease, AD)的诊断准确性。该框架旨在通过结合临床表格数据和大脑的三维磁共振成像(3D Magnetic Resonance ...
【01】Progressively Normalized Self-Attention Network for Video Polyp Segmentation 840 -- 1:32 App 【11】Research on CT image grading of superior mesenteric artery based on AA Res-U 524 -- 2:05 App 【29】Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learni 1254 3 2:...
解码器类似于传统的Transformerr解码器。 由于视觉信息已通过基于多个图的多模式融合层合并到所有文本节点中,因此我们允许解码器仅通过关注文本节点状态来动态利用多模式上下文。 经过两种attention 一个是decoder 内部的, 一个是 encoder 和 decoder的 attention ...