for
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]], ......
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]] ......
PSANet: Point-wise Spatial Attention Network for Scene Parsing双向注意力
PSANet: Point-wise Spatial Attention Network for Scene Parsing * Authors: [[Hengshuang Zhao]], [[Yi Zhang]], [[Shu Liu]], [[Jianping Shi]], [[Chen Cha ......
UIU-Net: U-Net in U-Net for Infrared Small Object Detection：Unet中的Unet
UIU-Net: U-Net in U-Net for Infrared Small Object Detection * Authors: [[Xin Wu]], [[Danfeng Hong]], [[Jocelyn Chanussot]] DOI: 10.1109/TIP.2022.32284 ......
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting 初读印象 comment:: （计数用的一个网络）提出了一个标度优先的可变形卷积，将典范的信息，例如标度，整合到计数网络主干中。 动机 本文考 ......
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images * Authors: [[Bowei Du]], [[Yecheng ......
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 ......
AWS - Required permissions for a node group role
Before you create worker nodes, you must create an IAM role with the following IAM policies: AmazonEKSWorkerNodePolicy AmazonEKS_CNI_Policy AmazonEC2C ......
1 K8S for Prometheus Dashboard 20211010 EN
* [Prometheus Time Series Collection and Processing Server](http://localhost:9090/targets?search=#pool-prometheus)* [Dashboards | Grafana Labs](https: ......
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 ......
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]], ......
js中结束多层for循环
关键字break和continue都是结束循环的作用，但是它只能结束它外面的第一层循环，如果代码里面是一层一层又一层的循环，你想直接结束最外层循环就需要outer了。 outer:for (int i = 0; i < 10; i++) { for (int j = 0; j < 10; j++) ......
Educational Codeforces Round 131 (Rated for Div. 2)
基本情况 AB秒了。C知道是二分答案，check死活写不出来。 C. Schedule Management Problem - C - Codeforces 错误分析 这题比较绕，搞了一个对应关系，大脑转不过来。 写check的时候完全想不出合理的思路。 很明显的要用桶来计数，但是怎么用不知道了。 ......
神经网络优化篇：机器学习基础（Basic Recipe for Machine Learning）
机器学习基础 下图就是在训练神经网络用到的基本方法：（尝试这些方法，可能有用，可能没用） 这是在训练神经网络时用到地基本方法，初始模型训练完成后，首先要知道算法的偏差高不高，如果偏差较高，试着评估训练集或训练数据的性能。如果偏差的确很高，甚至无法拟合训练集，那么要做的就是选择一个新的网络，比如含有更 ......
com.mysql.cj.jdbc.exceptions.MysqlDataTruncation: Data truncation: Incorrect datetime value: '1' for column 'date' at row 1
出现 com.mysql.cj.jdbc.exceptions.MysqlDataTruncation: Data truncation: Incorrect datetime value: '1' for column 'date' at row 1错误数据库中的daka表字段 date ，原本初 ......
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition：使用大核卷积调制来简化注意力
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition * Authors: [[Qibin Hou]], [[Cheng-Ze Lu]], [[Ming-Ming Cheng]], [[Jiashi Feng]] ......
MetaFormer Is Actually What You Need for Vision：通用的ViT架构才是关键
MetaFormer Is Actually What You Need for Vision * Authors: [[Weihao Yu]], [[Mi Luo]], [[Pan Zhou]], [[Chenyang Si]], [[Yichen Zhou]], [[Xinchao Wang]] ......
Educational Codeforces Round 159 (Rated for Div. 2)
Educational Codeforces Round 159 (Rated for Div. 2) A - Binary Imbalance 解题思路: 有一对\((0,1)\)，那么\(0\)就能无限增长。 代码: #include <bits/stdc++.h> using namespac ......
archlinux开机出现错误Dependency failed for /home. Dependency failed for Local File System Time outwaiting for device /dev/disk/...
错误如下 Dependency failed for /home. Dependency failed for Local File System Time outwaiting for device /dev/disk/... 应该是文件系统表不正确了，导致访问文件系统失败。 使用救援盘挂载分区 ......
Educational Codeforces Round 134 (Rated for Div. 2)
基本情况 AB秒了。 C搞了一个错的二分答案，虽然过样例了。 C. Min-Max Array Transformation 错误分析 没有进一步推导性质，而是觉得数据单调递增估计是二分，然后就无脑写，实际上 check 的正确性没有保证。 bool check(int ind, int now) ......
go--for 循环、continue、break、goto
for 循环 go 里面的循环只有一个 for 循环 for 循环有下面四种方式的写法 第一种方式，for 后面什么都不写 死循环，在代码中，如果一个 for 循环没有结束条件，则代码会陷入死循环 package main import ( "fmt" "time" ) func main() { ......
Ansor：Generating High-Performance Tensor Program for Deep Learning
Ansor：Generating High-Performance Tensor Program for Deep Learning Abstract 高性能的张量程序对于保证深度神经网络的高效执行十分关键，但是在不同硬件平台上获取高性能的张量程序并不容易。近年的研究中，深度学习系统依赖硬件供应商提 ......