Practical Guide to Object Detection Using Vision Transformer

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

WTPose Framework: Enhancing Pose Estimation with Waterfall Module Based on Transformer

WTPose Framework: Enhancing Pose Estimation with Waterfall Module Based on Transformer

Click the card below to follow the 「Intelligent Book Boy」 public account Click to join👉「Intelligent Book Boy」 group chat Want to learn more: Cutting-edge AI visual perception full-stack knowledge👉「Classification, Detection, Segmentation, Key Points, Lane Line Detection, 3D Vision (Segmentation, Detection), Multi-modal, Object Tracking, NerF」 Industry Technical Solutions👉「AI Security, AI Healthcare, AI Autonomous Driving」 AI Model … Read more

Real-Time Detection Transformer (RT-DETR) Combined with EBC for Superior Image Representation

Real-Time Detection Transformer (RT-DETR) Combined with EBC for Superior Image Representation

Click the card below to follow「AI Vision Engine」public account ( Note when adding: direction + school/company + nickname/name ) Event-based cameras (EBCs) are a biologically inspired alternative to traditional cameras, emerging due to their advantages in energy efficiency, temporal resolution, and high dynamic range. However, developing corresponding image analysis methods is quite challenging due to … Read more

Current Research Status of Object Detection Algorithms Based on Transformer

Current Research Status of Object Detection Algorithms Based on Transformer

Object detection is a fundamental task in computer vision that requires us to locate and classify objects. The groundbreaking R-CNN family[1]-[3] and ATSS[4], RetinaNet[5], FCOS[6], PAA[7], and a series of variants[8][10] have made significant breakthroughs in the object detection task. One-to-many label assignment is the core solution, which assigns each ground truth box as a … Read more

Understanding Stable Diffusion: A Comprehensive Guide

Understanding Stable Diffusion: A Comprehensive Guide

↑ ClickBlue Text Follow the Jishi Platform Author丨tian-feng@Zhihu (Authorized) Source丨https://zhuanlan.zhihu.com/p/634573765 Editor丨Jishi Platform Jishi Guide Detailed interpretation of the stable diffusion paper, after reading this article, you will never struggle to understand it again!>>Join the Jishi CV technology group and stay at the forefront of computer vision Personal website: https://tianfeng.space/ 1. Introduction (Can be skipped) Hello … Read more

The Rise of Deepfake: What Is Synthetic Data Used For?

The Rise of Deepfake: What Is Synthetic Data Used For?

Author | Astasia Myers Translator | Sambodhi Editor | Vincent AI Frontline Introduction: We previously published an article titled “AI Startups Competing to Commercialize Deepfake” on the 4th of this month. We believe readers have already recognized that Deepfake is a double-edged sword; when used correctly, it benefits society, but when misused, it can lead … Read more

Introduction to Computer Vision: Image Stitching Techniques

Introduction to Computer Vision: Image Stitching Techniques

Click the “Computer Vision Life” above and select “Star” Quickly obtain the latest insights Introduction Image stitching is a method of combining multiple overlapping images of the same scene into a larger image, which is significant in fields such as medical imaging, computer vision, satellite data, and military target recognition. The output of image stitching … Read more

Computer Vision: Practice Is More Important Than Theory!

Computer Vision: Practice Is More Important Than Theory!

Fingerprint unlocking, facial recognition, speech-to-text conversion, robots diagnosing illnesses, AlphaGo······ We have deeply felt that artificial intelligence is changing the way we work and perceive the world. According to a report by SAS on the readiness of enterprises for artificial intelligence, most companies believe that AI is still in its early stages, “Currently, many application … Read more

Unlocking Creativity: Computer Vision Software for Lego

Unlocking Creativity: Computer Vision Software for Lego

Produced by Big Data Digest Author: Caleb When it comes to Lego, it’s a toy loved by both adults and children. Every time I see a pile of Lego bricks and piece them together to form a template, the sense of achievement is off the charts. After finishing, I also want to display the creation … Read more

Stanford CS231N Deep Learning and Computer Vision: Image Classification and KNN

Stanford CS231N Deep Learning and Computer Vision: Image Classification and KNN

This article is a translated note of the Stanford University CS231N course, authorized for translation and publication by Professor Andrej Karpathy of Stanford University. This is a work from Big Data Digest, unauthorized reproduction is prohibited; specific requirements for reproduction can be found at the end of the article. Translation: Han Xiaoyang & Long Xincheng … Read more