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Архив

于 2020-06-20 发布文件大小:8KB

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styles css for html which gives acces

文件列表：

slick.css, 1893 , 2018-01-08
__MACOSX, 0 , 2019-07-30
__MACOSX\._slick.css, 211 , 2018-01-08
reset.css, 1051 , 2016-07-11
__MACOSX\._reset.css, 211 , 2016-07-11
media.css, 4647 , 2019-07-20
__MACOSX\._media.css, 211 , 2019-07-20
style.css, 34852 , 2019-07-20
__MACOSX\._style.css, 211 , 2019-07-20

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TV_RES
全变分图像处理的两种实现，一种是去噪，一种是恢复(Total Variation of the two kinds of image processing to achieve, one is de-noising, a restoration of)

2009-11-19 15:18:13下载

积分：1
unity3d版围住神经猫源码_爱给网_aigei_com
maxscript 开发脚本是一款很好的开源代码(maxscript is a very good programmer)

2020-06-25 15:20:02下载

积分：1
DCS-900_REVB_FIRMWARE_3.00
说明： DCS-900 FIRMWARE V3.00

2020-04-06 18:46:02下载

积分：1
IT3100HardwareManual
IT3100 HARDWARE MANUAL

2010-02-13 23:18:27下载

积分：1
blind-signal
主要包括盲信号的检测程序，还包含实验报告和结果(It is mainly used to denoise seismic signals and data, construct seismic data and then denoise the contrast results.)

2019-03-01 21:44:33下载

积分：1
编程求出二维数组中的最大和最小元素的值及其位置。设二维数组如下： A={ { 3,13,7,9},{11,8,23,5},{6,34,16,4}}。...
编程求出二维数组中的最大和最小元素的值及其位置。设二维数组如下： A={ { 3,13,7,9},{11,8,23,5},{6,34,16,4}}。 -programming calculated two-dimensional array of elements in the largest and smallest values and its location. Two-dimensional arrays located as follows : A = () (3,13,7,9, 11,8,23,5 (), (6,34,16, 4).

2022-03-13 09:28:02下载

积分：1
untitley
倍频SPWM方式下的单相全桥逆变电路仿真(Simulation of Single-Phase Full-Bridge Inverter Circuit in Frequency Doubling SPWM Mode)

2019-04-12 08:38:44下载

积分：1
OOK
ook调制格式,用于实现信号的ook调制(Ook modulation format, used to achieve signal ook modulation)

2017-07-15 16:12:38下载

积分：1
DeepCrack
说明：裂纹是典型的线结构，在许多计算机视觉应用中都很有趣。在实际应用中，路面裂缝等许多裂缝连续性差、对比度低，给利用低层特征进行基于图像的裂缝检测带来了很大的挑战。在本文中，我们提出了深度裂纹——一个端到端可训练的深度卷积神经网络，通过学习用于裂纹表示的高级特征来自动检测裂纹。该方法将在层次卷积阶段学习到的多尺度深度卷积特征融合在一起，以获取线路结构。更详细的表示在大比例尺的feature maps中进行，更全面的表示在小比例尺的feature maps中进行。我们在SegNet的编码器解码器架构上构建深度裂纹网，并对在相同尺度下在编码器网络和解码器网络中生成的卷积特征进行配对融合。(Cracks are typical line structures that are of interest in many computer-vision applications. In practice, many cracks, e.g., pavement cracks, show poor continuity and low contrast, which bring great challenges to image-based crack detection by using low-level features. In this paper, we propose DeepCrack---an end-to-end trainable deep convolutional neural network for automatic crack detection by learning high-level features for crack representation. In this method, multi-scale deep convolutional features learned at hierarchical convolutional stages are fused together to capture the line structures. More detailed representations are made in larger scale feature maps and more holistic representations are made in smaller scale feature maps. We build DeepCrack net on the encoder decoder architecture of SegNet and pairwisely fuse the convolutional features generated in the encoder network and in the decoder network at the same scale.)

2021-04-09 16:58:59下载

积分：1
include
说明： Description of csl_legacyhal Use access to everyone exdcept haha ohoh

2019-11-22 17:39:48下载

积分：1

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