Computer Vision

Understanding CV Transformers: A Comprehensive Guide

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Understanding CV Transformers: A Comprehensive Guide

Transformers, as an attention-based encoder-decoder architecture, have not only revolutionized the field of Natural Language Processing (NLP) but have also made groundbreaking contributions to the field of Computer Vision (CV). Compared to Convolutional Neural Networks (CNNs), Vision Transformers (ViT) rely on excellent modeling capabilities, achieving outstanding performance on several benchmarks including ImageNet, COCO, and ADE20k. … Read more

A Comprehensive Overview of Visual Transformers in CV: Status, Trends, and Future Directions

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A Comprehensive Overview of Visual Transformers in CV: Status, Trends, and Future Directions

Source | Heart of Autonomous Driving Editor | Deep Blue Academy Abstract Transformers, an encoder-decoder model based on attention, have revolutionized the field of Natural Language Processing (NLP). Inspired by these significant achievements, recent pioneering work has adopted transformer-like architectures in the field of Computer Vision (CV), demonstrating their effectiveness in three fundamental CV tasks … Read more

Why Transformers for NLP Tasks Can Be Applied to Computer Vision?

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Why Transformers for NLP Tasks Can Be Applied to Computer Vision?

Click on the above “Beginner Learning Vision” to choose to add a Star or “Top” Important content delivered promptly Almost all natural language processing tasks, from language modeling and masked word prediction to translation and question answering, have undergone revolutionary changes since the Transformer architecture first appeared in 2017. The Transformer also performs excellently in … Read more

Key Components of Artificial Intelligence Technology

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Key Components of Artificial Intelligence Technology

Artificial intelligence, as the hottest technology in the current field of science and technology, has attracted the attention of many people both inside and outside the industry. However, the information we focus on daily is mostly about the investment and financing trends in the field of artificial intelligence, the dynamics of AI unicorn companies, the … Read more

Introduction to AI for Beginners

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Introduction to AI for Beginners

█ What Exactly Is AI? AI is short for artificial intelligence. The term artificial can confuse many students who may think it relates to the adjective for art. However, artificial means “man-made” or “synthetic,” which is the opposite of natural. Intelligence is not easily mistaken; it means “intelligence.” The name of Intel Corporation is based … Read more

DeepSeek Janus-Pro: Breakthroughs and Innovations in Multimodal AI Models

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DeepSeek Janus-Pro: Breakthroughs and Innovations in Multimodal AI Models

Click the “Blue Word” to Follow Us In recent years, significant progress has been made in the field of artificial intelligence, especially in the area of multimodal models. Multimodal models can process and understand various types of data, such as text and images, simultaneously, greatly expanding the application scenarios of AI. The latest model released … Read more

Complete Interpretation: From DeepSeek Janus to Janus-Pro!

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Complete Interpretation: From DeepSeek Janus to Janus-Pro!

Datawhale Insights Author: Eternity, Datawhale Member Take Home Message: Janus is a simple, unified, and scalable multimodal understanding and generation model that decouples visual encoding from multimodal understanding and generation, alleviating potential conflicts between the two tasks. In the future, it can be expanded to incorporate more input modalities. Janus-Pro builds on this foundation, optimizing … Read more

Insights from Andrew Ng’s DeepLearning.ai Course on Convolutional Neural Networks and Computer Vision

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Insights from Andrew Ng's DeepLearning.ai Course on Convolutional Neural Networks and Computer Vision

Selected from Medium Translated by Machine Heart Contributors: Lu Xue, Li Zenan Not long ago, Andrew Ng’s fourth course on Convolutional Neural Networks was released on Coursera. This article is a reflection written by Ryan Shrott, Chief Analyst at the National Bank of Canada, after completing the course, which helps everyone intuitively understand and learn … Read more

Deep Learning: Too Much Theory? Let’s Get Practical!

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Deep Learning: Too Much Theory? Let's Get Practical!

Technical Column Author: lyl Compiled by: Rabbit What should the new technical column write about? This question has troubled our engineers for a long time. Regarding deep learning, there is an abundance of materials and literature available online; as long as everyone is willing to learn, there is everything from beginner to advanced. Until one … Read more

Visual Prompt Engineering: No Fine-Tuning Required

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Visual Prompt Engineering: No Fine-Tuning Required

↑ ClickBlue Text Follow the Jishi platform Author丨Tech Beast Editor丨Jishi Platform Jishi Guide How to adapt a pre-trained visual model to new downstream tasks without specific task fine-tuning or any model modifications? >> Join the Jishi CV technology exchange group and stay at the forefront of computer vision Table of Contents 1 Completing Visual Prompting … Read more