delphi cryptographic inference networks
delphi模拟redis单元
1 unit g_uSdRedis; 2 3 interface 4 5 uses 6 Windows, 7 Messages, 8 SysUtils, 9 Variants, 10 Classes, 11 Graphics, 12 Controls, 13 Forms, 14 Dialogs, 1 ......
Delphi：循环语句for-in
https://www.jianshu.com/p/0fd88af44e4b 1.for-in 循环中，循环对数组， 列表，字符串或其他某种类型的容器的每个元素进行操作。 2.打开IDE，新建VCL应用，添加一个button1，一个memo1，双击button1，编写代码： procedure TF ......
Delphi服务程序打开界面程序
function WTSQueryUserToken(SessionId: ULONG; var phToken: THandle): BOOL; stdcall; external 'Wtsapi32.dll'; procedure CreateProcessByUser; var Session ......
论文精读：ST2Vec：道路网络中的时空轨迹相似性学习（ST2Vec: Spatio_Temporal Trajectory Similarity Learning in Road Networks）
论文精读：ST2Vec 道路网络中的时空轨迹相似性学习 《ST2Vec: Spatio-Temporal Trajectory Similarity Learning in Road Networks》 论文链接：https://doi.org/10.48550/arXiv.2112.09339 一 ......
Delphi新语法IfThen
https://docwiki.embarcadero.com/Libraries/Sydney/en/System.StrUtils.IfThen function IfThen(AValue: Boolean; const ATrue: string; AFalse: string = ''): ......
论文阅读-Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks
1. GARF 简介 代码地址：https://github.com/PJinfeng/Garf-master 基于 SeqGAN 提出了一种自监督、数据驱动的数据清洗框架——GARF。 GARF 的数据清洗分为两个步骤： 规则生成 (Rule generation with SeqGAN)：利用 ......
delphi cxgrid 过滤列表增加右键
首先弹出来的下拉过滤列表也是一个form 思路,在不改源代码的情况：hook,捕捉 WM_SHOWWINDOW 消息，通过源码得知窗口类名 为”TcxGridFilterPopup“ 再通过句柄转得到实例，同时在本单元type 一下新的 TcxGridFilterPopup， TcxGridPopu ......
Docker网络模式--network_mode
docker-compose.yml 配置文件中的 network_mode 是用于设置网络模式的，与 docker run 中的 --network 选项参数一样的，可配置如下参数： 一、bridge **默认 **的网络模式。如果没有指定网络驱动，默认会创建一个 bridge 类型的网络。 桥接 ......
Docker error: "host" network_mode is incompatible with port_bindings
原因 这个错误的原因是在Docker的配置中，使用了"host"网络模式，同时又试图绑定端口（port_bindings）。"host"网络模式意味着容器将直接使用主机的网络，而不是使用Docker创建的虚拟网络。在这种模式下，容器的网络栈不会被隔离，容器可以直接监听主机的网络端口。 因此，当使用" ......
BIgdataAIML-IBM-A neural networks deep dive - An introduction to neural networks and their programming
https://developer.ibm.com/articles/cc-cognitive-neural-networks-deep-dive/ By M. Tim Jones, Published July 23, 2017 Neural networks have been around f ......
Relation Networks for Object Detection
Relation Networks for Object Detection * Authors: [[Han Hu]], [[Jiayuan Gu]], [[Zheng Zhang]], [[Jifeng Dai]], [[Yichen Wei]] DOI: 10.1109/CVPR.2018.0 ......
Local Relation Networks for Image Recognition： LRNet
Local Relation Networks for Image Recognition * Authors: [[Han Hu]], [[Zheng Zhang]], [[Zhenda Xie]], [[Stephen Lin]] DOI: 10.1109/ICCV.2019.00356 @in ......
Dual Attention Network for Scene Segmentation：双线并行的注意力
Dual Attention Network for Scene Segmentation * Authors: [[Jun Fu]], [[Jing Liu]], [[Haijie Tian]], [[Yong Li]], [[Yongjun Bao]], [[Zhiwei Fang]], [[H ......
Squeeze-and-Excitation Networks：SENet，早期cv中粗糙的注意力
Squeeze-and-Excitation Networks * Authors: [[Jie Hu]], [[Li Shen]], [[Samuel Albanie]], [[Gang Sun]], [[Enhua Wu]] Local library 初读印象 comment:: (SENet ......
Fully convolutional networks for semantic segmentation
Fully convolutional networks for semantic segmentation * Authors: [[Jonathan Long]], [[Evan Shelhamer]], [[Trevor Darrell]] DOI: 10.1109/CVPR.2015.729 ......
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation * Authors: [[Olaf Ronneberger]], [[Philipp Fischer]], [[Thomas Brox]] Local library 初读 ......
Non-local Neural Networks 第一次将自注意力用于cv
Non-local Neural Networks * Authors: [[Xiaolong Wang]], [[Ross Girshick]], [[Abhinav Gupta]], [[Kaiming He]] Local library 初读印象 comment:: (NonLocal)过去 ......
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation * Authors: [[Guosheng Lin]], [[Anton Milan]], [[Chunhua Shen]], [[ ......
Expectation-Maximization Attention Networks for Semantic Segmentation 使用了EM算法的注意力
Expectation-Maximization Attention Networks for Semantic Segmentation * Authors: [[Xia Li]], [[Zhisheng Zhong]], [[Jianlong Wu]], [[Yibo Yang]], [[Zho ......
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network * Authors: [[Wenzhe Shi]], [[Jose Caballer ......
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network * Authors: [[Hengshuang Zhao]], [[Jianping Shi]], [[Xiaojuan Qi]], [[Xiaogang Wang]], [[Jiaya Jia]] DOI: 10.1109/CVPR.20 ......
Asymmetric Non-Local Neural Networks for Semantic Segmentation 非对称注意力
Asymmetric Non-Local Neural Networks for Semantic Segmentation * Authors: [[Zhen Zhu]], [[Mengdu Xu]], [[Song Bai]], [[Tengteng Huang]], [[Xiang Bai]] ......
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers * Authors: [[Jiacong Xu]], [[Zixiang Xiong]], [[Shankar P. Bhattacharyya ......
PSANet: Point-wise Spatial Attention Network for Scene Parsing双向注意力
PSANet: Point-wise Spatial Attention Network for Scene Parsing * Authors: [[Hengshuang Zhao]], [[Yi Zhang]], [[Shu Liu]], [[Jianping Shi]], [[Chen Cha ......
Object Tracking Network Based on Deformable Attention Mechanism
Object Tracking Network Based on Deformable Attention Mechanism Local library 初读印象 comment:: （DeTrack）采用基于可变形注意力机制的编码器模块和基于自注意力机制的编码器模块相结合的方式进行特征交互。基于 ......
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images * Authors: [[Bowei Du]], [[Yecheng ......
A Deformable Attention Network for High-Resolution Remote Sensing Images Semantic Segmentation可变形注意力
A Deformable Attention Network for High-Resolution Remote Sensing Images Semantic Segmentation * Authors: [[Renxiang Zuo]], [[Guangyun Zhang]], [[Rong ......
SiReN Sign-Aware Recommendation Using Graph Neural Networks论文阅读笔记
Abstract 目前使用GNN的推荐系统主要利用高评分的正向用户-物品交互信息。但是如何利用低评分来表示用户的偏好是一个挑战，因为低评分仍然可以提供有用的信息。所以在本文中提出了基于GNN模型的有符号感知推荐系统SiReN，SiReN有三个关键组件 构造一个符号二部图更精确的表示用户的偏好，分为两 ......
Fully Attentional Network for Semantic Segmentation：FLANet
Fully Attentional Network for Semantic Segmentation * Authors: [[Qi Song]], [[Jie Li]], [[Chenghong Li]], [[Hao Guo]], [[Rui Huang]] 初读印象 comment:: (F ......