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
Paper Title: SemCity: Semantic Scene Generation with Triplane Diffusion Authors: Jumin Lee1, Sebin Lee1, Changho Jo, Woobin Im, Juhyeong Seon, Sung-Eui Yoon Project Address: https://sglab.kaist.ac.kr/SemCity/ Compiler: Babata Reviewer: Los Introduction: This paper has been accepted by CVPR24 and proposes a 3D diffusion model for generating outdoor real scenes. Utilizing the Triplane Diffusion method, it not … Read more
Follow our public account to discover the beauty of CV technology This article is reprinted from Machine Heart. Researchers from Pujiang Laboratory, Tsinghua University, and other institutions proposed a new convolution-based foundational model called InternImage. Unlike transformer-based networks, InternImage uses deformable convolution as the core operator, enabling the model to have a dynamically effective receptive … Read more
BiSeNet, which utilizes attention mechanisms in semantic segmentation, has two modules: the FFM module and the ARM module. Its implementation is quite straightforward, but the author has a deep understanding of the attention mechanism and proposes a novel feature fusion method through the FFM module. One Introduction Semiotic segmentation requires rich spatial information and a … Read more
Selected from GitHub Author: Shuai Zheng et al. Translated by: Machine Heart Contributors: Jiang Siyuan This GitHub project implements image semantic segmentation by combining CNN and CRF-RNN models. Readers can follow this project to implement the process using Keras/Tensorflow. Demo Address: http://crfasrnn.torr.vision Project Address: https://github.com/sadeepj/crfasrnn_keras This GitHub project contains methods to implement “CRF-RNN” image semantic … Read more