Attention Mechanisms

Understanding Attention Mechanisms in CV

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Understanding Attention Mechanisms in CV

Click the above “Beginner Learning Vision” and choose to add “Star” or “Top“. Heavyweight content delivered first-hand. Author丨AdamLau@ZhihuSource丨https://zhuanlan.zhihu.com/p/288758894 Introduction This article, in conjunction with related papers, discusses various CV attention mechanisms (Non-local Neural Networks, Squeeze-and-Excitation Networks, CBAM, DANet), their concepts, characteristics, and related experiments. CV Attention Mechanisms Non-local ~ SE ~ CcNet ~ GC-Net ~ … Read more

Various Transformations of Self-Attention Mechanisms

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Various Transformations of Self-Attention Mechanisms

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP master’s and doctoral students, university teachers, and industry researchers.The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reproduced from … Read more

Overview of Multimodal Deep Learning: Network Structure Design and Fusion Methods

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Overview of Multimodal Deep Learning: Network Structure Design and Fusion Methods

Click on the above“Beginner Learning Vision”, select to addStar or “Top” Heavy content delivered immediately From | Zhihu Author丨Xiao Xi learns every day Link丨https://zhuanlan.zhihu.com/p/152234745 Introduction Multimodal deep learning mainly includes three aspects: multimodal learning representation, multimodal signal fusion, and multimodal applications. This article focuses on related fusion methods in computer vision and natural language processing, … Read more

Collect! Various Amazing Self-Attention Mechanisms

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Collect! Various Amazing Self-Attention Mechanisms

Click the above“Beginner Learning Vision”, choose to add “Star Mark” or “Pin” Important content delivered at the first time Editor’s Recommendation This article summarizes the main content of Teacher Li Hongyi’s introduction to various attention mechanisms in the Spring 2022 Machine Learning course, which also serves as a supplement to the 2021 course. Reprinted from丨PaperWeekly … Read more

Simultaneous Multi-Slice Imaging Focus on Diffusion

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Simultaneous Multi-Slice Imaging Focus on Diffusion

Diffusion imaging differs from traditional MR technology as it primarily relies on the movement of water molecules rather than the spin proton density of tissues, T1 values, or T2 values, providing a novel technique for tissue imaging contrast. The diffusion of water molecules in tissues is a random thermal motion, where the direction and magnitude … Read more

Various Fascinating Self-Attention Mechanisms

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Various Fascinating Self-Attention Mechanisms

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The community’s vision is to promote communication and progress among the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

11 Ingenious Plugins for CNN Network Design

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11 Ingenious Plugins for CNN Network Design

Click the "AI Algorithms and Image Processing" above, select "Star" or "Pin" Heavy content, delivered first time Recommended Reading 31 Python practical projects teach you image processing, PDF open download opencv_contrib extension module Chinese tutorial PDF, limited time to receive Author丨Peter Pan Editor丨Extreme City Platform Introduction The so-called “plugin” is something that can enhance performance … Read more

Exploring 17 Attention Mechanisms in Deep Learning

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Exploring 17 Attention Mechanisms in Deep Learning

Attention Mechanisms have become the foundational architecture for model design; it’s almost a given that a good model should incorporate some form of attention. This article summarizes the current state of Attention Mechanisms by introducing 17 mainstream types of attention mechanisms, explaining their basic principles and computational methods, and providing their sources along with corresponding … Read more