Channel attentionConvolutional neural networksHuman activity recognitionMultimodal sensorsResidual networkIn the paper, we present a new dual attention method called DanHAR, which blends channel and temporal attention on residual networks to improve feature representation ability for sensor-based HAR task. ...
提出了Dual Attention Networks (DANet)在spatial和channle维度来捕获全局特征依赖,提出position attention module去学习空间特征的相关性,提出channel attention module去建模channle的相关性; 在Position Attention Module中,特征图A(C×H×W)首先分别通过3个卷积层得到3个特征图B,C,D,然后reshape为C×N,其中N=H×W...
Dual Attention Network for Scene Segmentation(CVPR2019) Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu Introduction We propose a Dual Attention Network (DANet) to adaptively integrate local features with their global dependencies based on the self-attention mechani...
Dual Attention Network for Scene Segmentation(CVPR2019) Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu Introduction We propose a Dual Attention Network (DANet) to adaptively integrate local features with their global dependencies based on the self-attention mechani...
3D medical image segmentation Dual attention Depth-wise convolution Swin transformer InceptionNeXt 1. Introduction In recent years, vision transformers (ViTs) [1] have gradually surpassed and replaced Convolution Neural Network (CNN) and found wide applications in various downstream tasks of medical imagi...
The core of the neural network model is composed of self-attention and additive attention, where the former aims to capture the relatedness between the contextual words and structural context, and the latter aims to learn the importance of them. The experiments on real-world datasets demonstrate ...
This study investigates the intricate connections between relational wellbeing and individual resilience, through family and community protective factors. As such, we aim to bridge an existing gap in resilience literature by examining the elements that c
A capsule network (CapsNet) is a recently proposed neural network model with a new structure. The purpose of CapsNet is to form activation capsules. In this paper, our team proposes a dual attention mechanism capsule network (DA-CapsNet). In DA-CapsNet, the first layer of the attention mecha...
Dual Attention Network for Scene Segmentation(CVPR2019) Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang,and Hanqing Lu Introduction We propose a Dual Attention Network (DANet) to adaptively integrate local features with their global dependencies based on the self-attention mechani...
We propose a Dual Attention Network (DANet) to adaptively integrate local features with their global dependencies based on the self-attention mechanism. And we achieve new state-of-the-art segmentation performance on three challenging scene segmentation datasets, i.e., Cityscapes, PASCAL Context and...