1D CNN

Innovative Attention Mechanism Proposed by UESTC Improves MobileViT’s Attention QKV Operations

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Innovative Attention Mechanism Proposed by UESTC Improves MobileViT's Attention QKV Operations

In this study, the authors propose an improved variant of MobileViT that performs attention-based QKV operations in the early stages of downsampling. Performing QKV operations directly on high-resolution feature maps is computationally intensive due to their large size and numerous tokens. To address this issue, the authors introduce a filtering attention mechanism that uses convolutional … Read more

Is CNN a Type of Local Self-Attention?

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Is CNN a Type of Local Self-Attention?

This article is reprinted from: Deep Learning EnthusiastsLink:https://www.zhihu.com/question/448924025/answer/1801015343Editor: Deep Learning and Computer VisionStatement: For academic sharing only, please delete if infringing Is CNN a Type of Local Self-Attention?Author: Houhouhttps://www.zhihu.com/question/448924025/answer/1791134786(This answer refers to: Li Hongyi’s 2021 Machine Learning Course)CNN is not a type of local attention, so let’s analyze what CNN and attention are doing. 1: … Read more

How AIGC Assists Designers in Generating 3D Space Solutions

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How AIGC Assists Designers in Generating 3D Space Solutions

In just a few months, various AIGC tools have quickly become an important aid in the design workflow. For example, AI tools based on Midjourney and Stable Diffusion can intelligently generate rendering images and site plans based on textual descriptions or reference images. However, the results generated by these AIGC tools are text or images. … Read more

Understanding Visual Transformers: Advantages Over CNNs

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Understanding Visual Transformers: Advantages Over CNNs

Source: Machine Heart Transformers have recently become the new dominators in the visual field. What specific applications does this model architecture from the NLP field have in the CV field? As an attention-based encoder-decoder architecture, Transformers have not only revolutionized the field of Natural Language Processing (NLP) but also made some pioneering contributions in the … Read more

VMamba: Revolutionizing Visual Transformers as the Next Mainstream Backbone?

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VMamba: Revolutionizing Visual Transformers as the Next Mainstream Backbone?

Paper Title: VMamba: Visual State Space Model Authors: Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie, Yaowei Wang, Qixiang Ye, Yunfan Liu Compiled by: Frank Reviewed by: Los Convolutional Neural Networks (CNNs) and Visual Transformers (ViTs) are currently the two most popular foundational models for visual representation. CNNs have impressive scalability with linear … Read more

Comprehensive Overview of Deep Learning in Image Denoising

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Comprehensive Overview of Deep Learning in Image Denoising

Click on the above “Beginner Learning Visuals” to select “Bookmark” or “Pin” Heavyweight content delivered at the first moment This article is reprinted from: AI Algorithms and Image Processing Recently, researchers from Harbin Institute of Technology, Guangdong University of Technology, Tsinghua University, and National Tsing Hua University in Taiwan jointly authored a comprehensive review on … Read more

Applications of Deep Learning in Marketing

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Applications of Deep Learning in Marketing

### 1. Article Basic Information – **Article Title**: Deep Learning in Marketing: A Review and Research Agenda – **Author**: Xiao Liu, New York University – **Publication Location**: Chapter related to “Artificial Intelligence in Marketing Review of Marketing Research” – **Main Idea of the Article**: To review the applications of deep learning (DL) in marketing, introduce … Read more

Basics of Deep Learning: Classic Convolutional Neural Networks

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Basics of Deep Learning: Classic Convolutional Neural Networks

Click the above “Beginner’s Visual Learning“, select to add “Star” or “Top“ Important content delivered promptly Introduction Convolutional Neural Networks (CNN) are a class of feedforward neural networks with deep structures that include convolutional computations, representing one of the key algorithms of deep learning. The classic neural network structures are LeNet-5, AlexNet, and VGGNet. This … Read more

EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection

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EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection

Good news! Join Knowledge Planet to read the full PDF version of this article in detail Paper Information Title: EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection Authors: Junjie Yang, Haibo Wan, Zhihai Shang Innovations … Read more

Comprehensive Introduction to Convolutional Neural Networks (With Code)

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Comprehensive Introduction to Convolutional Neural Networks (With Code)

Source: Read Chip Technology This article is approximately 8000 words, and it is recommended to read in 16 minutes. Step-by-step guide on how to use Convolutional Neural Networks to build an image classifier. Image source: pexels.com Neural networks consist of neurons with weights and biases. By adjusting these weights and biases during training, a good … Read more