segmentation controllers real-time inspired

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 ......

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 ......

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]], [[ ......

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 ......

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: ......
先验 下文 Segmentation Context Prior

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]] ......

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 ......

Control Groups version 1 (翻译 by chatgpt)

原文:https://www.kernel.org/doc/html/v6.6/admin-guide/cgroup-v1/index.html Control Groups Block IO Controller CPU Accounting Controller CPUSETS Device W ......
Control version chatgpt Groups by

2.button_control_led

//注意:51单片机是低电平驱动的 #include<REGX52.H> //包含P2 #include<INTRINS.H> //包含延时函数的_nop_ void main() //1.按键按下点亮一个led,松手熄灭。 { while(1) { if(P3_1==0)//默认是高电平,P3_1 ......
button_control_led control button led

DMAengine controller documentation 【ChatGPT】

https://www.kernel.org/doc/html/v6.6/driver-api/dmaengine/provider.html#dmaengine-controller-documentation DMA引擎控制器文档 硬件介绍 大多数从DMA控制器都具有相同的操作原则。 它们具有一 ......
documentation controller DMAengine ChatGPT

D. Jumping Through Segments

1、首先,假设我们已知一个k,若其符合题意,那么 第一次移动时可达区间为[-k,k],我们只需判断这个区间和[L1,R1]是否有交区间。然后我们取出这个交区间【left,right】。 接下每次移动,我们都在上一次得到的区间基础上得到新的可移动区间【left-k,right+k】,之后再和【Li,R ......
Segments Jumping Through

验证controller处理事件时不因对象变化而变化

crd_controller打断点后更新或者删除fruit,从Lister里面取到的对象内容保持不变。 ......
controller 对象 事件

实现k8s自定义controller

创建crd apiVersion: apiextensions.k8s.io/v1 kind: CustomResourceDefinition metadata: name: fruits.crd.io spec: group: crd.io versions: - name: v1 served ......
controller k8s k8 8s

PINCTRL(PIN CONTROL)子系统 【ChatGPT】

https://www.kernel.org/doc/html/v6.6/driver-api/pin-control.html PINCTRL(PIN CONTROL)子系统 本文概述了Linux中的pin control子系统。 该子系统涉及以下内容: 枚举和命名可控制的引脚 引脚、Pads、F ......
子系统 PINCTRL CONTROL ChatGPT PIN

[ARC164E] Segment-Tree Optimization 题解

题目链接 题目链接 题目解法 一个自认为比较自然的解法 这种一段序列切成两部分的问题首先考虑区间 \(dp\) 令 \(f_{l,r}\) 为 \([l,r]\) 能构成的最小深度,\(g_{l,r}\) 为在 \(f_{l,r}\) 最小的情况下最少的最大深度的点的个数 转移枚举 \(k\) 即可 ......

D. Jumping Through Segments

题目传送门 我是彩笔 二分trigger:存在一个最小值,使得当大于最小值时一定成立,小于最小值时一定不成立 #include<bits/stdc++.h> using namespace std; int n; int l[200005]={0},r[200005]={0}; int ss(int ......
Segments Jumping Through

Control Group v2 —— Namespace(翻译 by chatgpt)

原文:https://www.kernel.org/doc/html/latest/admin-guide/cgroup-v2.html#namespace Namespace 命名空间 Basics 基础知识 cgroup namespace provides a mechanism to vir ......
Namespace Control chatgpt Group v2

Control Group v2 —— Controller(翻译 by chatgpt)

原文:https://www.kernel.org/doc/html/latest/admin-guide/cgroup-v2.html#controllers Controllers CPU The "cpu" controllers regulates distribution of CPU c ......
Controller Control chatgpt Group v2
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