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  1. Modeling Enterprise Architecture with TOGAF 2014

  2. AIM OF THIS BOOK Today TOGAF®a is widely recognized as a standard for enterprise architecture. The TOGAF framework focuses on the architecture transformation method in all its dimensions (business, organization, and information system). Since enterp
  3. 所属分类:IT管理

    • 发布日期:2018-10-25
    • 文件大小:28311552
    • 提供者:garychn
  1. QFD for knowhow

  2. Innovations are key factors in competitiveness increase (Vives, 2008). They provide better quality and new products, more efficient organization, cost control, or other solutions that the market demands. However, in the literature it appears that th
  3. 所属分类:专业指导

    • 发布日期:2018-11-19
    • 文件大小:279552
    • 提供者:qq_35393088
  1. 人体姿态估计相关论文笔记2

  2. 目前很多姿态估计方法基于人体检测器的检测结果,但是人体检测器在定位和识别方面的小错误无法避免,这会导致单人姿态估计器失败。该文提出来一种新颖的区域多人姿态估计框架,可以在人体边界框不精确的时候进行姿态估计。该框架由Symmetric Spatial Transformer Network(对称空间变换网络)、Parameter Pose Non-Maximum-Suppression(非最大抑制姿态参数)、Pose-Guided Proposal Generator(姿态引导提议生成器)三部分
  3. 所属分类:机器学习

    • 发布日期:2018-12-18
    • 文件大小:760832
    • 提供者:weixin_43855930
  1. Faster R-CNN

  2. State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [7] and Fast R-CNN [5] have reduced the running time of these detection networks, exposing region proposal computat
  3. 所属分类:深度学习

    • 发布日期:2018-12-19
    • 文件大小:739328
    • 提供者:wuhenbai
  1. Metaclasses Proposal for C++

  2. Metaclasses let programmers write a new kind of efficient abstraction: a user-defined named subset of classes that share common characteristics – including user-defined rules, defaults, and generated functions – enabled by writing a custom transforma
  3. 所属分类:C++

    • 发布日期:2018-09-09
    • 文件大小:1048576
    • 提供者:otashanhongye
  1. R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection

  2. In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images. The framework is based on Faster R-CNN [1] architecture. First, we use the Region Proposal Network (RPN) to
  3. 所属分类:深度学习

    • 发布日期:2018-09-10
    • 文件大小:657408
    • 提供者:journeyend
  1. PCIe机械及电气规范

  2. This PCI Express Card Electromechanical Specification is provided “as is” with no warranties whatsoever, including any warranty of merchantability, noninfringement, fitness for any particular purpose, or any warranty otherwise arising out of any prop
  3. 所属分类:其它

    • 发布日期:2018-12-29
    • 文件大小:1048576
    • 提供者:lianshui7460
  1. PEP8中文版

  2. PEP是 Python Enhancement Proposal 的缩写,翻译过来就是 Python增强建议书 。 PEP8 译者:本文基于 2013-08-02 最后修改的 PEP8 版本翻译,若要查看英文原文,请参考PEP8 许多项目都有一套专有的编码风格指南,当冲突发生时,应以项目编码规范为优先。 当以下情况发生时,也是忽略某个风格指南的好理由: 当遵守指南会降低代码可读性,甚至对于那些依循 PEP 去阅读代码的人也是这样时。 当遵守指南会与其他部分的代码风格背离时 — 当然也许这是一个修
  3. 所属分类:Python

    • 发布日期:2018-12-31
    • 文件大小:581632
    • 提供者:qq_28295183
  1. AVOD论文解析

  2. IROS2018论文“Joint 3D Proposal Generation and Object Detection from View Aggregation”的讲解PPT,解析的比论文要详细清楚,是研究3D目标检测和自动驾驶算法非常好的资源。
  3. 所属分类:深度学习

    • 发布日期:2019-01-18
    • 文件大小:25165824
    • 提供者:aaronyking
  1. Detecting Text in Natural Image with Connectionist Text Proposal Network

  2. 提出了一种新颖的连接文本提议网络(CTPN),它能够准确定位自然图像中的文本行。CTPN直接在卷积特征映射中的一系列细粒度文本提议中检测文本行。我们开发了一个垂直锚点机制,联合预测每个固定宽度提议的位置和文本/非文本分数,大大提高了定位精度。序列提议通过循环神经网络自然地连接起来,该网络无缝地结合到卷积网络中,从而形成端到端的可训练模型。这使得CTPN可以探索丰富的图像上下文信息,使其能够检测极其模糊的文本。CTPN在多尺度和多语言文本上可靠地工作,而不需要进一步的后处理,脱离了以前的自底向上
  3. 所属分类:深度学习

    • 发布日期:2019-02-10
    • 文件大小:8388608
    • 提供者:u010092512
  1. 用于SiamRPN的预训练模型AlexNet.pth

  2. Siamese-RPN Paper: InProceedings{Li_2018_CVPR, author = {Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin}, title = {High Performance Visual Tracking With Siamese Region Proposal Network}, booktitle = {The IEEE Conference on Compute
  3. 所属分类:深度学习

    • 发布日期:2019-03-14
    • 文件大小:14680064
    • 提供者:xjh_jinhui
  1. RCNN-FastRCNN-FasterRCNN-MaskRCNN-TensorMask论文

  2. RCNN-FastRCNN-FasterRCNN-MaskRCNN-TensorMask论文打包 2014 Rich feature hierarchies for accurate object detection and semantic segmentation 2015 Fast R-CNN 2016 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2017 A-Fast-RC
  3. 所属分类:深度学习

    • 发布日期:2019-03-30
    • 文件大小:31457280
    • 提供者:u011344545
  1. Equihash 原版论文(Alex Biryukov, Dmitry Khovratovich)

  2. Equihash 算法发明者的原版论文 作者: Alex Biryukov, Dmitry Khovratovich In this paper we solve this open problem and show how to construct an asymmetric proof-of-work (PoW) based on a computationally-hard problem, which requires a great deal of memory to generat
  3. 所属分类:比特币

    • 发布日期:2019-04-28
    • 文件大小:496640
    • 提供者:xhoufei2010
  1. GA-RPN.pdf

  2. 目标检测:Region Proposal by Guided Anchoring (GA-RPN).
  3. 所属分类:深度学习

    • 发布日期:2019-05-17
    • 文件大小:1024000
    • 提供者:lilai619
  1. ACPIspec50.pdf

  2. THIS SPECIFICATION IS PROVIDED "AS IS" WITH NO WARRANTIES WHATSOEVER INCLUDING ANY WARRANTY OF MERCHANTABILITY, FITNESS FOR ANY PARTICULAR PURPOSE, OR ANY WARRANTY OTHERWISE ARISING OUT OF ANY PROPOSAL, SPECIFICATION, OR SAMPLE. NO LICENSE, EXPRESS
  3. 所属分类:硬件开发

    • 发布日期:2019-07-05
    • 文件大小:4194304
    • 提供者:angle_3344
  1. node-promise.zip

  2. node-promise 在 Node.js 平台上提供了完整的 Promises 的实现。 The node-promise module features a promise implementation with: Chainable promises Promises throw errors if an error handler is not provided CommonJS promise proposal [1] compliant Immutable once fulfil
  3. 所属分类:其它

    • 发布日期:2019-07-19
    • 文件大小:8192
    • 提供者:weixin_39840914
  1. Probabilistic Robotics .pdf

  2. 英文版高清带书签 Contents Preface xvii Acknowledgments xix I Basics 1 1 Introduction 3 1.1 Uncertainty in Robotics 3 1.2 Probabilistic Robotics 4 1.3 Implications 9 1.4 Road Map 10 1.5 Teaching Probabilistic Robotics 11 1.6 Bibliographical Remarks 11 2 Recu
  3. 所属分类:机器学习

    • 发布日期:2019-07-26
    • 文件大小:8388608
    • 提供者:weixin_37835458
  1. Android代码-kotlinx.collections.immutable

  2. Immutable Collections Library for Kotlin Immutable collection interfaces and implementation prototypes for Kotlin. For further details see the proposal. Prototype implementation is based on pcollections (Copyright 2015 The pcollections Authors.) Wha
  3. 所属分类:其它

    • 发布日期:2019-08-05
    • 文件大小:252928
    • 提供者:weixin_39840588
  1. Android代码-炫酷音乐播放器

  2. Music Player: From UI Proposal to Code Some developers have difficult to code when the UI proposal is a bit “sophisticated” or “complex”. Many of them strip a lot of significant portion of the UI or even the Motion when they are coding, and the resu
  3. 所属分类:其它

    • 发布日期:2019-08-06
    • 文件大小:12582912
    • 提供者:weixin_39840387
  1. Python-使用PyTorch实现SiameseRegionProposalNetwork

  2. 使用PyTorch实现Siamese Region Proposal Network
  3. 所属分类:其它

    • 发布日期:2019-08-11
    • 文件大小:17408
    • 提供者:weixin_39840387
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