III. 3D CONVOLUTION-TRANSFORMER NETWORK 在本节中,我们将展示如何在三维点云分类的分层框架中结合Transformer和卷积。我们首先介绍分层网络架构的设计,然后介绍基于卷积的局部特征聚合和Transformer-based的全局特征学习过程。 A. Overview. 将原始点云和法向量作为输入,两个模块都作用在降采样点集,每个模块都有两个部分:...
To tackle these challenges, we propose the Convolution-based Efficient Transformer Image Feature Extraction Network (CEFormer) as an enhancement of the Transformer architecture. Our model incorporates E-Attention, depthwise separable convolution, and dilated convolution to introduce crucial inductive biases,...
后来做出了ConTNet,ConTNet使用的都是最常见结构和设计,没有用很复杂的训练trick,其实如果增加一些trick或者使用一些convolution和Transformer的变形结构,应该可以在Imagenet上取得更好的效果。我们也希望给大家提出一个新的思路,网络可以不局限于pure conv或者Transformer或者是最近大火的MLP,有时候把他们结合起来也可以获得...
Cheng, G., Y. Zhou, S. Gao, Y. Li, and H. Yu. 2023. Convolution-enhanced vision transformer network for smoke recognition.Fire Technology59 (2): 925–948. Chollet, F. 2017. Xception: deep learning with depthwise separable convolutions. InProceedings of the IEEE conference on computer vis...
Transformer 擅长对远程全局上下文进行建模,但它们提取细粒度局部特征模式的能力较差。本文提出将self-Attention与卷积有机结合的方法,自注意力学习全局交互,而卷积有效地捕获基于相对偏移的局部相关性。 3 Conformer模型 Conformer 模块由四个模块堆叠在一起组成,即前馈模块、自注意力模块、卷积模块和最后的第二前馈模块。
SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More 31 p. Two-component Dark Matter and low scale Thermal Leptogenesis 128 p. Vector-like quark doublets, weak-basis invariants and CP violation 5 p. Distributed Mixture-of-Agents...
Forests are invaluable resources, and fire is a natural process that is considered an integral part of the forest ecosystem. Although fire offers several ecological benefits, its frequent occurrence in different parts of the world has raised concerns in
Therefore, this paper introduces a model, termed transformer with convolution (TWC), designed to enhance aircraft engine bearing fault diagnosis by integrating convolutional and transformer methods. This approach entails inputting raw signals, extracting signal features via convolutional layers, employing a...
We propose a convolution–Transformer adaptive fusion network (CTAFNet) for pixel-wise HSI classification. CTAFNet uses a novel local–global fusion feature extraction unit, called the convolution-Transformer adaptive fusion kernel, to capture both the local high-frequency features and the sequential ...
Code:https://github.com/rishikksh20/convolution-vision-transformers/ Motivation:在相似尺寸下,VIT的性能要弱于CNN架构;VIT所需的训练数据量要远远大于CNN模型 CvT将卷积引入Transformer,总架构是一个multi-stage的hierarchical的结构: 首先embedding的方式变成了卷积操作,在每个Multi-head self-attention之前都进行Convo...