Mmdetection instance segmentation


1. 深度学习背景下物体检测算法的发展 2. COCO 2018 Instance Segmentation 冠军团队算法分享 3. 开源物体检测框架 mmdetection 及 Open-MMLab 计划介绍. 雷锋网 AI 研习社将其分享内容整理如下: 我叫陈恺,来自香港中文大学多媒体实验室。 MMDetection contains high-quality implementations of popular object detection and instance segmentation methods. A summary of supported frameworks and features compared with other codebases is provided in Table  1. MMDetection supports more methods and features than other codebases, especially for recent ones. A list is given as follows. Dec 11, 2019 · Object detection and instance segmentation are two fundamental computer vision tasks. They are closely correlated but their relations have not yet been fully explored in most previous work. This paper presents RDSNet, a novel deep architecture for reciprocal object detection and instance segmentation. number of detections per image to a full multi-class and variable number of instances detector that can also produce instance segmentations. We present a novel end-to-end trainable deep neural network architecture consisting of both convo-lutional and recurrent layers for multi-class multi-object detection and instance segmentation with a FCOS- Fully Convolutional One-Stage Object Detection解读本文属于个人基于论文的一些标注与理解,大部分截至原文的内容,未读过论文的同学看起来可能会有点吃力,可以先阅读AI之路博主对论文的解读FCOS算法详解。若已经通读论文的同学,可以阅读本文,或许能为您查缺补漏。谢谢~ Motivation1. Anchor-Based存在 ...