Computer Vision

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

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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

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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

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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

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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?

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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

Computer Vision: Practice Is More Important Than Theory!

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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

Introduction to Computer Vision: Image Stitching Techniques

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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

Unlocking Creativity: Computer Vision Software for Lego

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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

Language-Guided Open Set Computer Vision

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Language-Guided Open Set Computer Vision

Source: ZHUAN ZHI This article is approximately 1000 words, recommended reading time is 5 minutes. We explore three paths to introduce language into computer vision systems for open set recognition. The visual world is vast and constantly evolving. Additionally, due to the long-tail nature of data collection, computer vision systems cannot observe all visual concepts … Read more

Deep Dive Into Human Pose Recognition Algorithm Using PaddlePaddle

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Deep Dive Into Human Pose Recognition Algorithm Using PaddlePaddle

With the development of deep learning technology, the detection of human skeletal key points has continuously improved and has been widely applied in fields related to computer vision, becoming the foundation for many computer vision tasks, including security, new retail, motion capture, human-computer interaction, and more. Now, the popular human pose recognition has also been … Read more