Click the card below to follow the WeChat public account “Python for Beginners” Object detection is a core task in computer vision that drives the development of technologies ranging from autonomous vehicles to real-time video surveillance. It involves detecting and locating objects within an image, and recent advances in deep learning have made this task … Read more
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
Inspired by these studies, Shilong Liu and others conducted an in-depth study on the cross-attention module in the Transformer decoder and proposed using 4D box coordinates (x, y, w, h) as queries in DETR, namely anchor boxes. By updating layer by layer, this new query method introduces better spatial priors in the cross-attention module, simplifying … Read more
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
R-CNN series object detection networks are the first series of networks in the field of object detection using deep learning, serving as a typical Two-Stage object detection network. This series includes R-CNN, Fast R-CNN, and Faster R-CNN, and as their names suggest, each generation is faster than the previous one, primarily because the characteristic of … Read more
Selected from The M Tank Translated by Machine Heart Contributors: Jiang Siyuan, Liu Xiaokun The M Tank has edited a report titled “A Year in Computer Vision,” documenting the research achievements in the field of computer vision from 2016 to 2017. This detailed material is invaluable for developers and researchers. The material consists of four … Read more
This article is reprinted from the PaddlePaddle WeChat official account Editor’s Note: Written by a deep learning engineer from Baidu, this article provides a detailed overview of the eight major tasks in the field of computer vision, including: image classification, object detection, image semantic segmentation, scene text recognition, image generation, human keypoint detection, video classification, … Read more
Paper Title: Mask R-CNNPaper Download Link: https://arxiv.org/abs/1703.06870 Before reading this blog post, you need to understand Faster R-CNN, FPN, and FCN. Faster R-CNN Video Explanation: https://www.bilibili.com/video/BV1af4y1m7iL?p=3 FPN Video Explanation: https://www.bilibili.com/video/BV1dh411U7D9 FCN Video Explanation: https://www.bilibili.com/video/BV1J3411C7zd Table of Contents 0 Introduction 1 Mask R-CNN 2 RoI Align 2.1 RoIPool Experiment 2.2 RoIAlign Experiment 3 Mask Branch (FCN) … Read more
Table of Contents 1. System Overview 2. System Simulation Effect Preview 3. Core Code 4. Complete Project Acquisition 1. System Overview Faster R-CNN is a deep learning object detection algorithm based on Region Proposal Network (RPN) and Fast R-CNN. This algorithm consists mainly of two parts: the RPN network and the Fast R-CNN network. The … Read more