Click the "Xiaobai Learns Vision" above, select to add "Starred" or "Pinned" Heavy content, delivered first time 【Introduction】Neural networks have a wide range of applications in the field of computer vision. With slight modifications, the same tools and techniques can be effectively applied to a wide variety of tasks. In this article, we will introduce … Read more
Source: DeepHub IMBA This article is approximately 3100 words long and is recommended for a 6-minute read. This article introduces the latest research and advancements in the field of computer vision, covering various topics including diffusion models, vision-language models, image editing and generation, video processing and generation, and image recognition. Today, we summarize the most … Read more
CASIA Unlock More Intelligence Beauty Introduction Computer vision is a discipline that studies how to use computers to simulate the functions of human or biological visual systems. Its purpose is to enable computers to perceive and understand the surrounding world based on images, specifically to recognize, measure, and understand information such as scenes, objects, and … Read more
Click on the above “Beginner’s Guide to Vision“, choose to add “Star” or “Top“ Important content delivered at the first time Reprinted from: Author | Zhang Hao Source | Zhihu(https://zhuanlan.zhihu.com/p/31727402) Introduction:Deep learning has become one of the fastest-growing and most exciting fields of machine learning. Many significant papers have been published, and there are many … Read more
Click on the above“Beginner Learning Vision” to choose to add “Star” or “Top“ Important content delivered in real-time Development Environment Software Version Information: Windows 10 64-bit TensorFlow 1.15 TensorFlow Object Detection API 1.x Python 3.6.5 VS2015 VC++ CUDA 10.0 Hardware: CPU i7 GPU 1050ti To install the TensorFlow Object Detection API framework, see here: The … Read more
Introduction Creating precise machine learning models capable of identifying and locating multiple objects in a single image remains a core challenge in computer vision. However, with recent advancements in deep learning, object detection applications are easier to develop than ever before. The TensorFlow Object Detection API is an open-source framework built on top of TensorFlow … Read more
Click on the “Beginner’s Visual Learning” above to select “Star” or “Pin“ Important content delivered promptly 0. Introduction During the pandemic, we searched for TensorFlow pre-trained models on GitHub and found a repository containing 25 object detection pre-trained models with their performance and speed metrics. Utilizing one of these models to build a social distance … Read more
Click the "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavyweight content delivered promptly Introduction In this article, we will gradually introduce how to easily build your own real-time object detection application using TensorFlow (TF) new Object Detection API and OpenCV in Python 3. Below is the running application: Purpose and Motivation Google … Read more
About 4300 words, recommended reading time 5 minutes. This article classifies the field into two major categories and four subcategories based on the fusion stage, and also analyzes the existing problems in the current field, providing references for future research directions. 1 Introduction Multi-modal sensor fusion means complementary, stable, and safe information, and has long … Read more
Source丨Heart of Autonomous Driving Editor丨Deep Blue Academy What is Multimodal 3D Object Detection? Multimodal 3D object detection is one of the current research hotspots in 3D object detection, mainly referring to the use of cross-modal data to improve the detection accuracy of the model. Generally speaking, multimodal data includes: image data, LiDAR data, millimeter-wave radar … Read more