526互联

spatial

AMOS: Enabling Automatic Mapping for Tensor Computations On Spatial Accelerators with Hardware Abstraction

AMOS: Enabling Automatic Mapping for Tensor Computations On Spatial Accelerators with Hardware Abstraction Abstract 为了实现性能提升，硬件专用化是一个趋势。空间硬件加速器利用专门的层次 ......
Accelerators Computations Abstraction Automatic Enabling

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 ......
双向 注意力 Point-wise Attention Network

2023ICCV_FSI Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras

三. Network 1. 2. FLB： 没看懂是怎么分离的水平和竖直方向 3. SLB：每一层保留一半的通道特征用于细化，其余的在特征重构后输出（没看懂）。 Multi-distillation Network 超分辨网络的Multi-distillation Network(2019ACMMM ......
Under-Display Interactive Restoration Frequency ICCV_FSI

2023CVPR_Spatial-Frequency Mutual Learning for Face Super-Resolution

一. Network：SFMNet 1.网络采用U-Net结构，其中SFMLM-i是不同分辨率的每层结构 2.SPB是空域分支，FRB是频域分支，分别经过FRB和SPB的两个分支信息经过FSIB分支进行信息的融合 3. FRB结构： class FreBlock9(nn.Module): def _ ......
CVPR_Spatial-Frequency Super-Resolution Resolution Frequency Learning

城市时空预测的统一数据管理和综合性能评估 [实验、分析和基准]《Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]》

2023年11月1日，还有两个月，2023年就要结束了，希望在结束之前我能有所收获和进步，冲呀，老咸鱼。 摘要 解决了访问和利用不同来源、不同格式存储的不同城市时空数据集，以及确定有效的模型结构和组件。 1.为城市时空大数据设计的统一存储格式“原子文件”，并在40个不同的数据集上验证了其有效性，简化 ......
数据管理 Spatial-Temporal 基准 Comprehensive Performance

[930] arcpy - change spatial reference, zoom to layer and export to PDF

The general idea is as follows: aprx -> layout -> map -> layer -> extent layout -> setExtent layout -> exportToPDF The script is as follows: def expor ......
reference spatial change export arcpy

[925] GDA2020_MGA and change the spatial reference in ArcGIS Pro

ZONE50: 114.0 120.0 - arcpy.mp.spatialReference("GDA2020_MGA_Zone_50") ZONE51: 120.0 126.0 - arcpy.mp.spatialReference("GDA2020_MGA_Zone_51") ZONE52: ......
reference spatial ArcGIS change 2020

论文阅读（四）—— Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

![image](https://img2023.cnblogs.com/blog/3279428/202310/3279428-20231016232154691-2008412580.png) ![image](https://img2023.cnblogs.com/blog/3279428/2... ......
Skeleton-Based Convolutional Recognition Networks Skeleton

【NIPS2021】Twins: Revisiting the Design of Spatial Attention in Vision Transformers

来自美团技术团队♪（＾∀＾●）ﾉｼ 论文地址：https://arxiv.org/abs/2104.13840 代码地址：https://git.io/Twins 一、写在前面 本文提出了两种视觉转换器架构，即Twins-PCPVT和Twins-SVT。 Twins-PCPVT 将金字塔 Trans ......
Transformers Revisiting Attention Spatial Design

from scipy.spatial import ConvexHull, QhullError ImportError: cannot import name 'QhullError' from 'scipy.spatial'

from scipy.spatial import ConvexHull, QhullError ImportError: cannot import name 'QhullError' from 'scipy.spatial' (/home/linux/.conda/envs/opencv/lib ......
QhullError spatial import scipy from

[882] ArcGIS Pro - Spatial Join

My question: In ArcGIS Pro, there are two polygon layers, and I would like to compare if those polygons overlay with each other in different layers. H ......
Spatial ArcGIS Join 882 Pro

Proj CDeepFuzz Paper Reading: Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness

## Abstract 本文： Task: 1. prove invariance-inducing regularizers can increase predictive accuracy for worst-case spatial transformations 2. prove that ......
Invariance-inducing transformations regularization Invariance robustness

学习笔记：DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting ICML2022 论文地址：https://proceedings.mlr.press/v162/lan22a.html ......
Spatial-Temporal Forecasting Temporal DSTAGNN Dynamic

Arcgis——统计区域内有多少个点并绘制颜色带（Spatial Join ）

1、统计区域内有多少个点 ArcToolbox->Analysis Tools->Overlay->Spatial Join 目标要素选择身份区域，连接要素选择点数据 查看关联成功后的文件属性表，多了一列join_count数据 2、绘制梯度颜色带 2.1、单值梯度 Symbology -> Cat ......
颜色 区域 Spatial Arcgis Join

HS-GCN Hamming Spatial Graph Convolutional Networks for Recommendation

[TOC] > [Liu H., Wei Y., Yin J. and Nie L. HS-GCN: Hamming spatial graph convolutional networks for recommendation. IEEE TKDE.](https://arxiv.org/pdf/ ......
Recommendation Convolutional Networks Hamming Spatial

3.3 Spatial Transformer

# 1. Spatial Transformer Layer ## 1.1 CNN is not invariant to scaling and rotation (1) CNN并不能真正做到scaling和rotation. (2) 如下图所示,在通常情况下,左右两边的图片对于CNN来说是不一样 ......
Transformer Spatial 3.3

《Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories》论文笔记

论文十问：Q1 论文试图解决什么问题？ 空间轨迹数据会泄漏个人隐私。因此，为了保护用户的隐私和保护效用，本文提出了一种基于效率的随机化模型。 Q2 这是否是一个新的问题？ Q3 这篇文章要验证一个什么科学假设？ Q4 有哪些相关研究？如何归类？谁是这一课题在领域内值得关注的研究员？ Q5 论文中提到 ......
Frequency-based Randomization Differential Guaranteeing Trajectories

Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation（阅读笔记）

空间信息引导卷积的实时RGBD语义分割（阅读笔记） 论文：Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation 复现：https://github.com/LinZhuoChen/SGNet（还 ......
Segmentation Information Convolution Real-Time Semantic

Spatial Join，空间连接

We learned how to use the Spatial Join tool to attach information from one attribute table to another based on the spatial relationship of the feature ......
Spatial 空间 Join

SPP（Spatial Pyramid Pooling：空间金字塔）

fasterrcnn中ROI Pooling 与 SPP 理解、 一、SPP作用 1、目的：将不同大小的窗口输入得到同样大小的窗口输出 1）解释：在卷积的操作中，对输入的尺寸是没有限制的，但是大多数网络结构的卷积操作后会连着全连接层，因此网络的输入也就有了限制，不然最后一层卷积的输出尺寸无法对应全连 ......
金字塔 金字 Pyramid Pooling Spatial

《Spectral–Spatial Morphological Attention Transformer for Hyperspectral Image Classification》论文笔记

论文作者：Swalpa Kumar Roy， Ankur Deria， Chiranjibi Shah， et al. 论文发表年份：2023 模型简称：morphFormer 发表期刊：IEEE Transactions on Geoscience and Remote Sensing 论文代码： ......
Classification Morphological Hyperspectral Transformer Attention

mxnet模型转onnx报错onnx.onnx_cpp2py_export.checker.ValidationError: Unrecognized attribute: spatial for operator BatchNormalization

onnx 版本 onnx 1.6.0onnx-simplifier 0.2.2onnxruntime 1.1.0onnxruntime-gpu 1.1.0 mxnet 版本 mxnet-cu101 1.7.0 原因 mxnet bug https://github.com/apache/mxnet/ ......
onnx BatchNormalization ValidationError Unrecognized 2py_export
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