This article is reproduced from Computer Vision WorkshopSemantic Segmentation PapersSemantic image segmentation is one of the fastest growing fields in computer vision, with a wide range of applications. In many areas, such as robotics and autonomous vehicles, semantic image segmentation is crucial as it provides the necessary context to take action based on pixel-level understanding … Read more
Programmers transitioning to AI are paying attention to this account👇👇👇 Unet++ Network Dense Connection Unet++ inherits the structure of Unet while also drawing on the dense connection method of DenseNet (various branches in Figure 1). The author connects the layers through dense connections, just like DenseNet, where each module interacts with each other, allowing every … Read more
Introduction Multi-modal fusion is a crucial task in the perception of autonomous driving systems. This article will detail the multi-modal perception methods for autonomous driving, including object detection and semantic segmentation tasks involving LiDAR and cameras. From the perspective of the fusion stage, existing solutions are categorized into data-level, feature-level, object-level, and asymmetric fusion. Furthermore, … Read more
Abstract: Vision segmentation is a core task in the field of computer vision, aiming to classify pixels in images or video frames to partition them into different regions. Thanks to the rapid development of vision segmentation technology, it plays a critical role in various application areas such as autonomous driving, aerial remote sensing, and video … Read more
Click the above “Beginner Learning Vision” to select “Star” or “Pin” Heavyweight content delivered first time This article is reprinted from | Machine Learning Beginner Introduction: Recently, the autonomous driving project requires learning some content about semantic segmentation, so I reviewed some papers and videos and made a simple summary. The note structure is: Machine … Read more
ClickI Love Computer Vision to star and get CVML new technologies faster. Microsoft Research Asia has produced a lot of cutting-edge technologies in computer vision, as well as numerous high-quality open-source projects that are highly regarded. For those who love CV, the following recommendations are not to be missed. Additionally, at the end of the … Read more
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
Click on the above“Beginner Learning Vision” to selectStar or “Pin” Heavyweight content delivered first-hand Originally published by | Machine Learning AI Algorithm Engineer The link to the VOC dataset used is provided in the article, the pre-trained model has been uploaded to GitHub, and I used Colab Pro for the environment, everyone can download the … 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
Click the “Beginner’s Guide to Vision” above, and choose to add “Star” or “Top“ Important content delivered at the first time Author｜xys430381_1 https://blog.csdn.net/xys430381_1/article/details/89323444 This article is for academic sharing only, copyright belongs to the author. If there is any infringement, please contact the background for deletion. Table of Contents Overview Why Visual Attention is Needed … Read more