Current Research Status of Object Detection Algorithms Based on Transformer

Current Research Status of Object Detection Algorithms Based on Transformer

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 of Object Detection Networks

R-CNN Series of Object Detection Networks

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

A Year in Computer Vision: Comprehensive CV Technical Report

A Year in Computer Vision: Comprehensive CV Technical Report

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

Overview of Eight Major Tasks in Computer Vision

Overview of Eight Major Tasks in Computer Vision

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

Introduction to Mask R-CNN Network

Introduction to Mask R-CNN Network

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

Fire Detection System Based on Faster R-CNN

Fire Detection System Based on Faster R-CNN

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