13 Essential Features of PyTorch You Must Know

13 Essential Features of PyTorch You Must Know

Click on the above“Beginner Learning Vision”, select to add “Starred” or “Pinned” Essential content delivered promptly Compiled by | ronghuaiyang Source | Frontiers of Artificial Intelligence PyTorch has gained a lot of attention in both academic and industrial research applications. It is a deep learning framework with great flexibility, utilizing a wealth of practical tools … Read more

Three Excellent PyTorch Semantic Segmentation Frameworks

Three Excellent PyTorch Semantic Segmentation Frameworks

Click on the above“Beginner Learning Vision” to selectStar or “Pin” Heavyweight content delivered first-hand Originally published by | Machine Learning AI Algorithm Engineer The link to the VOC dataset used is provided in the article, the pre-trained model has been uploaded to GitHub, and I used Colab Pro for the environment, everyone can download the … Read more

13 Image Augmentation Methods in Pytorch

13 Image Augmentation Methods in Pytorch

Using data augmentation techniques can increase the diversity of images in the dataset, thereby improving the performance and generalization ability of the model. The main image augmentation techniques include: Resizing Grayscale Transformation Normalization Random Rotation Center Cropping Random Cropping Gaussian Blur Brightness and Contrast Adjustment Horizontal Flip Vertical Flip Gaussian Noise Random Blocks Central Region … Read more

Deep Learning Advancements in Multimodal AI Models

Deep Learning Advancements in Multimodal AI Models

It has been a whole year since the emergence of ChatGPT, GPT-4, and other innovations that sparked a new wave of transformation in artificial intelligence. During this year, numerous companies both domestically and internationally have entered the “arena” of large models, accelerating the iteration and leap of large model technologies. The unprecedented capability of large … Read more

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

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

New Opportunities for Intelligent Film Production: A Review of Multimodal Technology Development at CVPR 2024

New Opportunities for Intelligent Film Production: A Review of Multimodal Technology Development at CVPR 2024

This article was published in the “Modern Film Technology” 2024, Issue 7. Expert Commentary Film is an organic combination of visual and auditory arts, presenting an unparalleled audiovisual experience to the audience through the transmission of sight and sound. Multimodal technology synergistically utilizes visual, auditory, textual, and other information to accomplish tasks that are difficult … Read more

How Multimodal Large Models Reshape Computer Vision

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

When Computer Vision Meets Generative AI

When Computer Vision Meets Generative AI

We have discussed computer vision (or more narrowly, machine vision) before. Last year, the cover story of Electronic Engineering Magazine also talked about computer vision, but the content at that time was more focused on how computers acquire and understand image information from the outside world, leaning towards the perception aspect. According to the definition … Read more

Cutting-Edge Disciplines | Generative AI Technology

Cutting-Edge Disciplines | Generative AI Technology

Generative AI refers to a class of artificial intelligence systems that can learn from existing data and generate new data, thereby achieving functions similar to human creativity. Unlike traditional AI systems, generative AI systems can create new content on their own rather than merely processing input data. It can be realized through various technologies such … Read more

High-Precision Image Editing with AI: EditGAN

High-Precision Image Editing with AI: EditGAN

Author: Nathan Horrocks Translation: Gabriel Ng Proofreading: Zhang Ruiyi This article is about 3300 words long and is suggested to be read in 5 minutes. This article introduces how to use AI for high-precision image editing. Processing photos of cats, cars, and even antique paintings has never been easier, thanks to a Generative Adversarial Network … Read more