segments 1858d trees and
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]], [[ ......
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 ......
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 ......
（15-418） Project 1: Exploring Multi-Core and SIMD Parallelism
Program 1: Parallel Fractal Generation Using Threads 加速比与线程数并不成正比： thread nums serial thread speedup 1 395.95 395.234 1.00x 2 394.42 201.087 1.96x 4 3 ......
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 ......
数据结构与算法 第二章线性表（48课时课程笔记）Data Structure and Algorithms
2.1 线性表的类型定义 一个线性表是n个数据元素的有限序列。 （1）结构初始化 InitList(&L) 构造一个空的线性表L。 （2）销毁结构 DestroyList(&L) （3）引用型操作 （4） 修改型操作 一个算法举例： 假设有两个集合A和B分别用两个线性表LA和LB表示（即：线性表中的 ......
【模板】树上启发式合并 dsu on tree
所选例题 模板 点击查看代码 #include<bits/stdc++.h> using namespace std; #define endl '\n' #define pb push_back #define rep(i,a,n) for(int i=a;i<=n;i++) #define pe ......
GCGP：Global Context and Geometric Priors for Effective Non-Local Self-Attention加入了上下文信息和几何先验的注意力
Global Context and Geometric Priors for Effective Non-Local Self-Attention * Authors: [[Woo S]] 初读印象 comment:: （GCGP）提出了一个新的关系推理模块，它包含了一个上下文化的对角矩阵和二维相 ......
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance 基于图像和视频的小对象指南使用深度学习进行检测：的案例研究海上监视 1 ......
Occluded Person Re-Identification with Deep Learning: A Survey and Perspectives
应对行人信息丢失、噪声干扰、视角错位等挑战 局部特征学习：人体分割、姿态估计、语义分割、属性注释、混合法 ***语义分割*** ECCV-2020）用于行人重识别的身份引导人类语义解析 https://blog.51cto.com/u_14300986/5466923 ......
Rethinking and Improving Relative Position Encoding for Vision Transformer: ViT中的位置编码
Rethinking and Improving Relative Position Encoding for Vision Transformer * Authors: [[Kan Wu]], [[Houwen Peng]], [[Minghao Chen]], [[Jianlong Fu]], ......
【题解】AtCoder agc065_b Erase and Insert
传送门：https://atcoder.jp/contests/agc065/tasks/agc065_b 考虑 $dp$ 从 $Q$ 得到 $P$ 的过程个数。每次当我们插入 $i$ 的时候，我们要保证 $[1,i]$ 中所有数在新的 $Q$ 中的相对位置关系和在 $P$ 中相同（因为之后它们的相 ......
【题解】AtCoder agc065_a Shuffle and mod K
传送门：https://atcoder.jp/contests/agc065/tasks/agc065_a 为了方便理解，我们把要求的东西乘一个 $-1$，再把答案序列倒过来；也就是说，我们现在要求 $min_{A'}^{A'为A的排列}(\sum_{i=1}^{N-1}((A_{i+1}-A_{i ......
N维空间长度算角度和长度的计算器下载 N Dims spaces compute angle and length kwlns 2024 download
算N维尺寸的长方体的对角线的长度和角度的软件。
A software that calculates the length and angle of the diagonal of a rectangular prism with N-dimensional dimensions. ......
PostgreSql 数据库备份和恢复 (Backup and Restore)
转 https://blog.csdn.net/Gjw_java/article/details/123402180 前言本文中使用到的系统及软件版本 PostgreSQL 10centos 8一次性SQL转储单数据库PostgreSQL 提供了 pg_dump 实用程序来简化备份单个数据库的过程。 ......
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]], [[ ......
[LeetCode] 2415. Reverse Odd Levels of Binary Tree
Given the root of a perfect binary tree, reverse the node values at each odd level of the tree. For example, suppose the node values at level 3 are [2 ......
数据结构与算法 第一章（48课时课程笔记）Data Structure and Algorithms
感觉这一章的笔记不会有什么用处。课堂上有提问过抽象数据类型的定义，作业也让定义了几个（数据对象+数据关系+基本操作），数据逻辑结构（线性&非线性）与存储结构（顺序&链式），时间复杂度与空间复杂度 ......
Codeforces Round 910 (Div. 2) B. Milena and Admirer（数论）
Codeforces Round 910 (Div. 2) B. Milena and Admirer 思路： 要使数组非递减，则可以先进行倒序遍历，对于当前的 \(a_i\) , 要使 \(a_i\le a_{i+1}\) 我们可以进行贪心，让 \(a_i\) 分完尽可能使每个 \(a_i / k ......
Codeforces Round 891 (Div. 3) F. Sum and Product （数论）
Codeforces Round 891 (Div. 3) F. Sum and Product 思路： 对于x,y：ai+aj=x —> aj=x-ai 因此 ai*(x-ai) = y ——> ai = (x 土 sqr( x^2 - 4y ) ) /2 对应的 ai 就是要的两个值 若两个值不 ......