这篇paper入选ECCV 2016 Oral,是目标检测领域代表性算法,第一作者Wei Liu博士毕业后现为自动驾驶公司Nuro的Lead Machine Learning Researcher。 本文的写作参考了arXiv上最新的版本,提交时间为Thu, 29 Dec 2016…
In this paper, we present an end-to-end trainable single shot text detector (SSTD) which can deal with arbitrary oriented texts in natural images. The SSTD detects texts in a single forward pass without any post-processing except for a simple non-maximum suppression. We propose a rotational ...
To further enhance the detection accuracy of small objects, this paper proposes an efficient single-shot detector with weight-based feature fusion (WFFA-SSD). First, a weight-based feature fusion block is designed to adaptively fuse information from several multi-scale feature maps. The feature ...
对VOC2007,在300×300输入,SSD在Nvidia Titan X上58FPS时达到72.1%的mAP,500×500输入SSD达到75.1%的mAP,优于类似的现有技术Faster R-CNN模型。代码链接:https://github.com/weiliu89/caffe/tree/ssd。 引言 当前,现有对象检测系统是以下方法的变体:假设边界框,对每个框重新取样像素或特征,再应用高质量分类器。
DSSD : Deconvolutional Single Shot Detector论文阅读笔记2017 Abstract 本文的主要贡献是提出了一种方法,将额外的context引入到SOTA通用的目标检测中。==实验中,我们首先将一种SOTA分类器(ResNet-101)和快速检测框架SSD进行组合。然后我们增加了反卷积层来引入额外的大尺度context,提升了准确率,尤其是对小目标,因此我们...
2. Ensure that the pixel size of the detector is known. 3. Calculate the resolution limit for the specimen thickness from Eq. (35) and determine the feasible range of magnification/resolution for the specimen given this resolution limit. 4. Calculate the theoretical reconstruction voxel size ...
SSD: Single Shot MultiBox Detector Abstract We present a method for detecting objects in images using a single deep neural network. Our approach, named SSD, discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map locatio...
DSSD : Deconvolutional Single Shot Detector 本文的主要贡献是将附加上下文引入到最先进的一般目标检测中。为了实现这一点,我们首先结合了一个最先进的分类器和一个快速检测框架。然后,我们使用反褶积层来增加SSD+Residual-101,以在目标检测中引入额外的大规模上下文,并提高准确性,特别是对于小目标,我们将生成的系统...
目标检测SSD: Single Shot MultiBox Detector 一、前言 1.1 什么是目标检测 目标检测问题可以分为以下两个问题: 分类:所有类别的概率 定位: 4个值(中心位置x,y,宽w,高h) 目标检测近年来已经取得了很重要的进展,主流的算法主要分为两个类型(参考RefineDet):(1)two-stage方法,如R-CNN系算法,其主要思路是先...
tutorialdetectionpytorchssdobject-detectionobject-recognitionpytorch-tutorialsingle-shot-multibox-detectorsingle-shot-detection UpdatedNov 11, 2023 Python zubair-irshad/CenterSnap Star292 Code Issues Pull requests Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorica...