dba_segments dba_extents dba segments
An improved LSTM-based model for identifying high working intensity load segments of the tractor load spectrum
一区top Computers and Electronics in Agriculture 题目: “基于改进 lstm 的拖拉机载荷谱高工作强度载荷段识别模型” (pdf) “An improved LSTM-based model for identifying high working in ......
Learning Dynamic Query Combinations for Transformer-based Object** Detection and Segmentation论文阅读笔记
Motivation & Intro 基于DETR的目标检测范式(语义分割的Maskformer也与之相似)通常会用到一系列固定的query,这些query是图像中目标对象位置和语义的全局先验。如果能够根据图像的语义信息调整query,就可以捕捉特定场景中物体位置和类别的分布。例如,当高级语义显示图 ......
1.9 Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation 基于语义分割遥感图像的模型
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation 参考遥感图像分割的旋转多尺度交互网络 参考遥感图像分割 (RRSIS)是一个新的挑战,它结合了计算机视觉和自然语言处理,通过 ......
Segment Anything(SAM)环境安装&代码调试
引子 Segment Anything是前阵子大火的CV领域模型,之前也有尝试,只是没有整理。OK,让我们开始吧 一、拉取下载docker镜像 docker pull cnstark/pytorch:2.0.1-py3.9.17-cuda11.8.0-ubuntu20.04 二、安装SAM环境 do ......
A Long read hybrid error correction algorithm based on segmented pHMM
A Long read hybrid error correction algorithm based on segmented pHMM 2023/12/15 11:06:36 The "Long read hybrid error correction algorithm based on se ......
【模板】李超线段树 / [HEOI2013] Segment
李超线段树是一种用于维护平面直角坐标系内线段关系的数据结构,插入直线/线段,支持查询单点极值 李超树的经典应用是斜率优化,可以看下这篇文章 李超线段树没有用懒标记实现区间修改,而用的是标记永久化 其实标记永久化与我们对lazy标记的理解非常相同,可以看看LYD蓝书上对标记永久化的解释,都是累积某个节 ......
SQL SERVER 数据库的常用DBA命令
查看表是否死锁 select * from master..SysProcesses where db_Name(dbID) = '数据库名' and spId <> @@SpId and dbID <> 0 and blocked >0; 或者 select request_session_id ......
A Long read hybrid error correction algorithm based on segmented pHMM 基于pHMM的DNA序列分析与错误修正方法研究
基于pHMM的DNA序列分析与错误修正方法研究 这篇论文主要内容是关于DNA序列分析中的错误纠正方法。论文提出了一种基于概率隐马尔可夫模型(pHMM)的错误纠正方法。首先,通过SR-LR对齐和基于短读序列对齐的预处理步骤,对DNA序列进行处理。然后,利用pHMM构建了一个隐藏的马尔可夫模型,并进行前 ......
作为DBA,你需要掌握这些压测工具
前言: 数据库系统正式上线前,压测是必不可少的一步。数据库系统能承载多少并发,DBA要做到心中有数。 基本概念: TPS/QPS:衡量吞吐量。(TPS:每秒事务处理量(Transaction Per Second)、每秒查询率QPS(Query Per Second)是对一个特定的查询服务器在规定时 ......
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 ......
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]], [[ ......
SegViT: Semantic Segmentation with Plain Vision Transformers
SegViT: Semantic Segmentation with Plain Vision Transformers * Authors: [[Bowen Zhang]], [[Zhi Tian]], [[Quan Tang]], [[Xiangxiang Chu]], [[Xiaolin We ......
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]], ......
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 ......
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 ......
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 ......
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation;OCRNet
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation * Authors: [[Yuhui Yuan]], [[Xiaokang Chen]], [[Xilin Chen]], [[ ......
【Linux】调试常见的应用程序奔溃“Segmentation fault (core dumped)”
https://blog.csdn.net/hello_nofail/article/details/129994481?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522170264661316800227454508%2522%252 ......
达梦设置兼容日期格式导致查询dba_objects报错:[-6118]:Invalid datetime value.
达梦设置兼容日期格式导致查询dba_objects报错:[-6118]:Invalid datetime value. 目前在如下版本中发现这个问题: SQL> select t.*,id_code from v$version t; LINEID BANNER ID_CODE 1 DM Datab ......