A full object mask is generated by providing the input image to a first deep neural network object detector that produces a full object mask for an object of a particular object type depicted in the input image.
引用: Erhan, Dumitru, et al. "Scalable object detection using deep neural networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2014. 引用次数: 181(Google Scholar, by 2016/11/23). 项目地址:https://github.com/google/multibox 1 介绍 这是一篇2014年发表的CVP...
随笔- 76 文章- 0 评论- 20 阅读- 25317 Scalable Object Detection using Deep Neural Networks译文 原文:https://arxiv.org/abs/1312.2249 标签: 深度学习, 论文阅读, 译文 好文要顶 关注我 收藏该文 微信分享 <编程小白> 粉丝- 19 关注- 32 +加关注 0 0 升级成为会员 « 上一篇: 论文列表 ...
这是一篇发表在2013年的文章,算是第一篇使用 Deep Neural Networks 做 Objection Detection 的文章。这篇文章提出了一种基于多尺度推断的网络实现目标检测。 Introduction 之前的目标检测的方法都是先进行分类,之后再进行定位操作。但是本文提出了:将目标检测作为一个回归问题,输出目标是一个 mask (非0即1),也可以看...
我们知道AlexNet有8个layer(包含最后一层softmax layer),其中5个conv 和2个fc,每个layer后有ReLU,有3个conv层后面还有max pooling层。作者采用了一种回归方法来预测目标的bbox,具体而言就是将AlexNet的最后一层(softmax layer)改为 regression layer。这个regression layer输出目标bbox的mask,如图1所示, 当然实际上...
论文笔记:Bag of Freebies for Training Object Detection Neural Networks 这篇论文看起来像是一种总结类文章,文中并没有提出新的结构模型之类,但是对于以前的一些做法进行了整合并应用于baseline中。也就是文中一再强调的“Bag of Freebies”,即在不改变模型结构并且不改变损失函数的情况下,不牺牲前向传播时间,将...
Deep Neural Networks for Object Detection(深层神经网络目标检测).pdf,Deep Neural Networks for Object Detection Christian Szegedy Alexander Toshev Dumitru Erhan Google, Inc. szegedy, toshev, dumitru@ Abstract Deep Neural Networks (DNNs) have recently sho
Deep Neural Networks (DNNs)have recently shown outstanding performance on image classification tasks [14].In this paper we go one step further and address the problem of object detection using DNNs,that is not only classifying but also precisely localizing objects of various classes.We present a...
Recently, deep Convolutional Neural Network (CNN) is becoming more and more popular in pattern recognition, and have achieved impressive performance in multi-category datasets. Most object detection system include three main parts, CNN features extractio
A collection of easy to use, highly optimized Deep Learning Models for Object Detection. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models CuratorNVIDIA ModifiedMarch 14, 2025 Computer VisionDLObject Detection...