The American company Owl Autonomous Imaging’s Thermal Ranger system can locate and classify targets such as pedestrians in the dark using only a thermal infrared camera and a trained Convolutional Neural Network (CNN). Thermal imaging is particularly suitable for imaging after dark, as it relies on the infrared energy emitted by objects themselves rather than … Read more
Source: New Machine Vision Originally from: Chengmai Technology Abstract: This article mainly introduces the five major technologies in computer vision, which are image classification, object detection, object tracking, semantic segmentation, and instance segmentation. Each technology is given a basic concept and corresponding typical methods, making it simple and easy to read. Computer vision is one … Read more
Click on the above“Beginner Learning Vision” to choose to add a Star or “Top” Important content delivered first Source | Zhihu Author | Huang Piao Link | https://zhuanlan.zhihu.com/p/113443895 This article is for academic exchange only. If there is any infringement, please contact for deletion. Introduction Recently, I came across several interesting articles and referred to … Read more
Source: Heart of Autonomous Driving Editor: Deep Blue Academy Since the emergence of VIT, Transformers have sparked a revolution in the CV field, leading to significant advancements in various upstream and downstream tasks. Today, we will review the end-to-end object detection algorithms based on Transformers! Original Transformer Detector DETR (ECCV2020) The pioneering work! DETR! Code … Read more
Click on the above“Beginner Learning Vision” to select “Add to Favorites” or “Pin” Heavyweight content delivered first hand 1 Background Introduction Object detection, or object detection, is to accurately find the location of objects in a given image and label the categories of those objects. The object detection problem has two main issues: where the … Read more
Click on the above“Beginner’s Guide to Vision“, select to add “Starred” or “Top“ Heavyweight material delivered immediately 1. R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation Technical route: selective search + CNN + SVMs Step 1: Candidate box extraction (selective search) Training: Given an image, use the selective search method to extract … Read more
Source: “Communications of the China Computer Federation”, Issue 8, “Special Topic” Author: Wang Xiaogang History of Deep Learning Development Deep learning is a significant breakthrough in the field of artificial intelligence over the past decade. It has achieved great success in various fields such as speech recognition, natural language processing, computer vision, image and video … Read more
Computer Science A Personalized Mentor Recommendation Letter A Complete Research Report A Comprehensive Research Experience [Computer Science] Document Image Recognition Based on Deep Learning Methods 1 Project Introduction Formal Research: 1v1 Online Customized Tutoring Project Gains: Research Report, Mentor Recommendation Letter Research Supplement Package: 48 hours of foundational research courses + 15 hours of academic … Read more
Click the "Xiaobai Learns Vision" above, select "Star" or "Top" Heavy content delivered at the first time Computer vision is not only a science that studies how to make machines understand and interpret the visual world, but also a technology that aims to enable machines to have visual processing capabilities similar to humans. By analyzing … Read more
This article is reprinted from AI Park. Author: Cheng He Translation: ronghuaiyang Introduction Applying Transformers to CV tasks is becoming increasingly common, and here we organize some related advancements for everyone. The Transformer architecture has achieved state-of-the-art results in many natural language processing tasks. One major breakthrough of the Transformer model may be the release … Read more