Object Detection

CNN or Transformer? The Key to Effectively Learning Large Models!

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CNN or Transformer? The Key to Effectively Learning Large Models!

Follow our public account to discover the beauty of CV technology This article is reprinted from Machine Heart. Researchers from Pujiang Laboratory, Tsinghua University, and other institutions proposed a new convolution-based foundational model called InternImage. Unlike transformer-based networks, InternImage uses deformable convolution as the core operator, enabling the model to have a dynamically effective receptive … Read more

Exploring Transformers in Computer Vision

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Exploring Transformers in Computer Vision

Original from AI Park Author: Cheng He Translated by: ronghuaiyang Introduction Applying Transformers to CV tasks is becoming increasingly common, and here are some related advancements for everyone. The Transformer architecture has achieved state-of-the-art results in many natural language processing tasks. A significant breakthrough for Transformer models may be the release of GPT-3 mid-year, which … Read more

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

Introduction to MVTec Deep Learning Tool

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Introduction to MVTec Deep Learning Tool

Introduction to MVTec Deep Learning Tool The MVTec Deep Learning Tool V0.4.3 has added model training and evaluation features based on its image classification and object detection annotation capabilities. This feature helps customers train deep learning models and provides relevant evaluation information, including heatmaps of predicted categories and confusion matrices for inference images. In the … Read more

How to Quickly Improve Yourself in Computer Vision?

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How to Quickly Improve Yourself in Computer Vision?

Click on the “Computer Vision Life” above and select “Star” Quickly obtain the latest insights Author: I am not good at this, compiled by I Love Computer Vision Link: https://www.zhihu.com/question/337889115/answer/770797118 First, a basic knowledge of machine learning is essential, as traditional methods involve manual features + machine learning approaches. Winning the ImageNet visual challenge before … Read more

How to Quickly Improve Yourself in Computer Vision?

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How to Quickly Improve Yourself in Computer Vision?

ClickI Love Computer Vision to star and get CVML new technologies faster Introduction: The author of this article is a friend from 52CV, recommending not only learning paths but also practical projects and some classic tasks, which are worth referencing for friends who are exploring. Author: I Am Not Good at This Link: https://www.zhihu.com/question/337889115/answer/770797118 Source: … Read more

Unveiling Convolutional Neural Networks (CNN): Empowering AI with Vision

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Unveiling Convolutional Neural Networks (CNN): Empowering AI with Vision

In the field of artificial intelligence, Convolutional Neural Networks (CNN) have become essential tools for tasks such as image recognition and object detection. This article will guide you through the basic principles of CNNs, making it easy for you to get started with this powerful AI technology. 1. What is a Convolutional Neural Network? A … Read more

Kaggle Champions Share: Image Recognition and Classification Competition

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Kaggle Champions Share: Image Recognition and Classification Competition

1 Compiled by New Intelligence Source: blog.kaggle.com Compiled by: Jia Yuepeng [New Intelligence Guide]The champion team of the Kaggle Ocean Fish Recognition and Classification Competition shares their technology: How to design robust optimization algorithms? How to analyze data and perform data augmentation? Technical details include using images from different boats for validation and how to … Read more

NLP and Transformer Converge in Computer Vision: DETR as a New Paradigm for Object Detection

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NLP and Transformer Converge in Computer Vision: DETR as a New Paradigm for Object Detection

Original by Machine Heart Author: Chen Ping Since the introduction of the Transformer, it has swept through the entire NLP field. In fact, it can also be used for object detection. Researchers at Facebook AI first launched the visual version of the Transformer—Detection Transformer (DETR), filling the gap of using Transformer for object detection, surpassing … Read more

Practical Guide to Object Detection Using Vision Transformer

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Practical Guide to Object Detection Using Vision Transformer

Click the card below to follow the WeChat public account “Python for Beginners” Object detection is a core task in computer vision that drives the development of technologies ranging from autonomous vehicles to real-time video surveillance. It involves detecting and locating objects within an image, and recent advances in deep learning have made this task … Read more