segment-tree optimization segment 164e
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 ......
gurobipy: Gurobi Optimizer is a mathematical optimization software library for solving mixed-integer linear and quadratic optimization problems
Project description The Gurobi Optimizer is a mathematical optimization software library for solving mixed-integer linear and quadratic optimization p ......
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 ......
Latest Service Advisor v3 Machine Interface Kit: Optimize Your John Deere Service Experience
In the world of agriculture and construction equipment, John Deere has established itself as a trusted and reliable brand. To ensure that your John De ......
洛谷 P9061 [Ynoi2002] Optimal Ordered Problem Solver
洛谷传送门 QOJ 传送门 考虑操作了若干次，所有点一定分布在一个自左上到右下的阶梯上或者在这个阶梯的右（上）侧。此处借用 H_W_Y 的一张图： 考虑如何计算答案。对于一次询问 \((X, Y)\)，如果它在阶梯左下方不用管它，否则考虑容斥，答案即为 \(x \ge X, y \ge Y\) 的点 ......
CF1916G Optimizations From Chelsu 题解
Optimizations From Chelsu 题意 给定 \(n\) 个结点的树，边有正整数边权 \(w_i\)。定义 \(len(u,v)\) 表示 \(u\) 到 \(v\) 的路径的边数，\(\gcd(u,v)\) 表示 \(u\) 到 \(v\) 的路径上所有边权的 \(\gcd\)， ......
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 ......
【五期李伟平】CCF-B（TFS'23）Consensus Reaching Process With Multiobjective Optimization for Large-Scale Group Decision Making With Cooperative Game
Peng Wu, Fengen Li, Jie Zhao, et al. Consensus Reaching Process With Multiobjective Optimization for Large-Scale Group Decision Making With Cooperativ ......
【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 ......
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 ......
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
Abstract 在多种多样的设备上部署深度学习模型是一个重要的话题，专用硬件的蓬勃发展引入了一系列加速原语和多维张量计算方法。这些新的加速原语和不断出现的新的机器学习模型，带来了工程上的巨大挑战。本文提出了TensorIR，是为了优化这些有张量计算原语的张量化程序而设计的编译器抽象。TensorI ......
（15-418）Lecture 5 Performance Optimization Part 1 Work Distribution and Scheduling
高性能编程的三个目标： 执行单元的负载均衡 减少线程、进程间的交流 减少额外开销 尽量先实现一个最简单的解决方案，之后对其扩展以提高性能。 Balancing the workload 理想情况下，所有处理器在整个程序执行期间都忙于计算。 根据Amdahl定律，程序中的串行部分的比例对最大加速比有很 ......
【Optimization in Operations Research 运筹学】牛顿法、高斯牛顿法、拟牛顿法与BFGS与为什么H要正定牛顿法亮点与弊端
牛顿法 \(F(x+\Delta x)=F(x)+F'(x)\Delta x+\frac{1}{2}F''(x)\Delta x^2\) 泰勒展开之后保留二次项 然后对展开式再进行求导 令导数等于0 直接得到前进的步长和方向 即\(Hx = b\)这里的\(x\)就是牛顿法求解的前进步长和方向。 如 ......
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 ......