update oracle for
更改Oracle字符集
1、 select userenv('language') from dual; --查询字符集 2、shutdown immediate; 关闭数据库实例 3、STARTUP MOUNT; --挂载 4、(依次执行以下命令) ALTER SESSION SET sql_TRACE=TRUE; AL ......
oracle字符串相关处理
1.逗号替换成'逗号' replace(xxx,',',''',''') 2.字符串两天拼接单引号 '''' || replace(xxx,',',''',''') || '''' select '''' || replace(col_name ,',',''',''') || ......
Educational Codeforces Round 160 (Rated for Div. 2) A~C
A. Rating Increase 题意: 将一个字符串分成两个整数a和b,要求没有前导0,且a < b 思路: 遍历字符串s,若当前位置不是0,则拆分字符串,比较大小 // #include <bits/stdc++.h> #include <iostream> #include <string ......
Educational Codeforces Round 160 (Rated for Div. 2)
基本情况 A题秒了。 B题卡了实在太久,BC题最后虽然都过了,但是耗时太久。感觉C对我来说更好写。 B. Swap and Delete 经典+3。 总是一条路偏要走到黑了才会想着换思路,早该换了。 一开始想了一大堆乱七八糟的思路,但都错了。 后面往简单了想,这题毕竟最后必须要左对齐的,直接从左往右 ......
ubuntu 18.04.6编译uboot提示error: bad value (‘generic-armv7-a’) for ‘-mtune=’ switch
按照按照 (https://rocketboards.org/foswiki/Documentation/EmbeddedLinuxBeginnerSGuide)制作了一个image当编译uboot的时候, 发送命令make: make socfpga_cyclone5_config make 得到 ......
Queries for the Array 题解
前言 这场 CF 是我赛后打的,vp 赛时没做出来,后来发现是有个地方理解错了,有一些细节没有考虑到。现在换了一种思路来写,感觉更清晰了。 做法 首先需要动态维护三个变量,\(cnt\) 和 \(finishsort\) 和 \(unfinishsort\)。这三个变量分别表示当前数字的个数,已经排 ......
Sw-YoloX An anchor-free detector based transformer for sea surface object detection
Sw-YoloX An anchor-free detector based transformer for sea surface object detection 基于Transformer用于海上目标检测的无锚检测器:Sw-YoloX 1)由于不同海洋状态下的活体和漂浮物体数据稀缺且昂贵,我们 ......
ON DUPLICATE KEY UPDATE
<insert id="batchInsert" parameterType="java.util.List"> insert into aigc_text (business_id, business_type, scene_index, text_eng, text_chn, text_prom ......
Access denied for user 'root'@'%' to database 'information_schema'
原因 information_schema是一个虚拟的数据库,里面的表其实都是视图。应切换数据库为“真正的数据库” 解决 USE `THE-REAL-DATABASE`; ......
Educational Codeforces Round 160 (Rated for Div. 2)
比赛录屏 \(A. Rating Increase\) https://codeforces.com/contest/1913/submission/237734923 \(B. Swap and Delete\) https://codeforces.com/contest/1913/submis ......
oracle12c静默安装
oracle12c 静默安装 先决条件 ● 至少 1 GB RAM 用于 Oracle 数据库安装。建议使用 2 GB 内存。 ● 至少 8 GB RAM 用于 Oracle Grid Infrastructure 安装。 支持以下 Linux x86-64 内核: ● 带有 Unbreakable ......
LightGCL Simple Yet Effective Graph Contrastive Learning For Recommendation论文阅读笔记
Abstract 目前的图对比学习方法都存在一些问题,它们要么对用户-项目交互图执行随机增强,要么依赖于基于启发式的增强技术(例如用户聚类)来生成对比视图。这些方法都不能很好的保留内在的语义结构,而且很容易受到噪声扰动的影响。所以我们提出了一个图对比学习范式LightGCL来减轻基于CL的推荐者的通 ......
Educational Codeforces Round 132 (Rated for Div. 2)
基本情况 AB秒了。C跨度有点太大,题解暂时都还没理解。 C. Recover an RBS Problem - C - Codeforces 待补题 ......
BigdataAIML-ML-Models for machine learning Explore the ideas behind machine learning models and some key algorithms used for each
最好的机器学习教程系列:https://developer.ibm.com/articles/cc-models-machine-learning/ By M. Tim Jones, Published December 4, 2017 Models for machine learning Alg ......
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 ......
Deep Residual Learning for Image Recognition:ResNet
Deep Residual Learning for Image Recognition * Authors: [[Kaiming He]], [[Xiangyu Zhang]], [[Shaoqing Ren]], [[Jian Sun]] DOI: 10.1109/CVPR.2016.90 初读 ......
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 ......
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation * Authors: [[Meng-Hao Guo]], [[Cheng-Ze Lu]], [[Qibin Hou]], [[Zhengning ......
CCNet: Criss-Cross Attention for Semantic Segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation * Authors: [[Zilong Huang]], [[Xinggang Wang]], [[Yunchao Wei]], [[Lichao Huang]], [[Humphrey S ......
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 ......
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition * Authors: [[Aravind Srinivas]], [[Tsung-Yi Lin]], [[Niki Parmar]], [[Jonathon Shlens]], [[Pieter Abbee ......
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 ......
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation * Authors: [[Qiang Wan]], [[Zilong Huang]], [[Jiachen Lu]], [[Gang Yu]] ......
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 ......
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery * Authors: [[Libo Wang]], [[Rui Li]], [[ ......
Context Prior for Scene Segmentation带上下文先验的分割
Context Prior for Scene Segmentation * Authors: [[Changqian Yu]], [[Jingbo Wang]], [[Changxin Gao]], [[Gang Yu]], [[Chunhua Shen]], [[Nong Sang]] DOI: ......
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation * Authors: [[Zongwei Zhou]], [[Md Mahfuzur Rahman Siddiquee]], [[Nima Tajbakhsh]], ......