Deep Learning

How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

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How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

MLNLP community is a renowned machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

A General Spatial-Frequency Learning Framework for Multimodal Image Fusion

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A General Spatial-Frequency Learning Framework for Multimodal Image Fusion

Paper Information Title: A General Spatial-Frequency Learning Framework for Multimodal Image Fusion A General Spatial-Frequency Learning Framework for Multimodal Image Fusion Authors: Man Zhou; Jie Huang; Keyu Yan; Danfeng Hong; Xiuping Jia; Jocelyn Chanussot; Chongyi Li Source Code Link: https://github.com/manman1995/Awaresome-pansharpening Innovations of the Paper 1 Spatial-Frequency Information Integration Network (SFINet): The first proposal to simultaneously … Read more

Multimodal Emotion Computing Overview

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Multimodal Emotion Computing Overview

Exciting Recommendations By Wang Shasha, R&D Center, Agricultural Bank of China Emotion computing aims to construct an intelligent system that can perceive, recognize, and understand human emotions, achieving intelligent, sensitive, and natural responses to human feelings. Early on, the industry commonly employed unimodal emotion computing technologies, such as micro-expression recognition, speech emotion recognition, and text … 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

How Multimodal Large Models Reshape Computer Vision

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How Multimodal Large Models Reshape Computer Vision

Introduction: The author will delve into the concept of Multimodal Large Language Models (MLLMs). This model not only inherits the powerful reasoning capabilities of Large Language Models (LLMs) but also integrates the ability to process multimodal information, enabling it to easily handle various types of data, such as text and images.©️【Deep Blue AI】 In short, … Read more

What Is Multimodal Learning?

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What Is Multimodal Learning?

Click the above“Mechanical and Electronic Engineering Technology” to follow us 1. Definition and Concept Multimodal learning is a machine learning method that utilizes various data modalities to train models, which may include text, images, audio, video, etc. Multimodal AI technology integrates multiple data patterns, such as text, images, videos, and audio, to provide a more … Read more

Comprehensive Overview of Multimodal Deep Learning

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Comprehensive Overview of Multimodal Deep Learning

Source: Data Analysis and Applications 1 Introduction Our experience of the world is multimodal — we see objects, hear sounds, feel textures, smell odors, and taste flavors. A modality refers to the way something occurs or is experienced; when a research question involves multiple modalities, it has multimodal characteristics. For artificial intelligence to make progress … Read more

Overview of Generative AI Development

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Overview of Generative AI Development

· Click the blue text to follow us Introduction Traditional artificial intelligence (AI) is often referred to as narrow or weak AI, focusing on performing specific tasks. With the continuous development of AI technology, a new form of AI has emerged called generative AI, also known as “next-generation AI.” This article will briefly analyze the … Read more

Technical Limitations and Ethical Risks of Generative AI

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Technical Limitations and Ethical Risks of Generative AI

Since the launch of ChatGPT, generative artificial intelligence has become a hot topic in the field of AI development. The fundamental form of generative AI technology involves training large AI models using massive amounts of data, allowing them to learn the statistical patterns of human language texts and images/videos, and automatically generate the required digital … Read more

Current Research Status And Development Trends Of Generative AI

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Current Research Status And Development Trends Of Generative AI

With the advent of ChatGPT, research on generative artificial intelligence has made groundbreaking progress in the field of multimodal information processing, including text, images, and videos, attracting widespread attention. This article reviews the research progress of generative artificial intelligence and discusses its future development trends. Specifically, it includes three parts: first, a review of the … Read more