detection relation networks object

Relation Networks for Object Detection

Relation Networks for Object Detection * Authors: [[Han Hu]], [[Jiayuan Gu]], [[Zheng Zhang]], [[Jifeng Dai]], [[Yichen Wei]] DOI: 10.1109/CVPR.2018.0 ......
Detection Relation Networks Object for

Local Relation Networks for Image Recognition: LRNet

Local Relation Networks for Image Recognition * Authors: [[Han Hu]], [[Zheng Zhang]], [[Zhenda Xie]], [[Stephen Lin]] DOI: 10.1109/ICCV.2019.00356 @in ......
Recognition Relation Networks Local Image

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 ......

Squeeze-and-Excitation Networks:SENet,早期cv中粗糙的注意力

Squeeze-and-Excitation Networks * Authors: [[Jie Hu]], [[Li Shen]], [[Samuel Albanie]], [[Gang Sun]], [[Enhua Wu]] Local library 初读印象 comment:: (SENet ......

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 ......

Non-local Neural Networks 第一次将自注意力用于cv

Non-local Neural Networks * Authors: [[Xiaolong Wang]], [[Ross Girshick]], [[Abhinav Gupta]], [[Kaiming He]] Local library 初读印象 comment:: (NonLocal)过去 ......

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 ......

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 ......

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 ......
Net U-Net Unet Detection Infrared

Pyramid Scene Parsing Network

Pyramid Scene Parsing Network * Authors: [[Hengshuang Zhao]], [[Jianping Shi]], [[Xiaojuan Qi]], [[Xiaogang Wang]], [[Jiaya Jia]] DOI: 10.1109/CVPR.20 ......
Pyramid Parsing Network Scene

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 ......

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 ......

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 ......

Object Tracking Network Based on Deformable Attention Mechanism

Object Tracking Network Based on Deformable Attention Mechanism Local library 初读印象 comment:: (DeTrack)采用基于可变形注意力机制的编码器模块和基于自注意力机制的编码器模块相结合的方式进行特征交互。基于 ......

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 ......

自定义元素宽高比例(aspect-ratio)与 @supports兼容支持和图片裁剪(object-fit)的用法

1、aspect-ratio宽高比例属性 aspect-ratio: 1 / 1; aspect-ratio: 16 / 9; aspect-ratio: 0.5; //等同于 1/2 如下效果将为每个box子元素设置aspect-ratio:3 / 2,如下图所示: 2、object-fit图片裁 ......

python3.8 模块 paramiko报错 AttributeError: 'NoneType' object has no attribute 'time'

报错信息 Exception ignored in: <function BufferedFile.__del__ at 0x7f4886fbd160> Traceback (most recent call last): File "/usr/local/python3/lib/python3.8 ......
39 AttributeError attribute 模块 paramiko

object对象

<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title></title> </head> <body> <script> //字面量的方式创建对象 var obj0 = {} console.log(obj0) var obj = { ......
对象 object

Django报错UnorderedObjectListWarning: Pagination may yield inconsistent results with an unordered object_list

Django报错UnorderedObjectListWarning: Pagination may yield inconsistent results with an unordered object_list 报错 报错信息如下: Django报错Django报错UnorderedObject ......

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 ......

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]], ......

Open-World Object Manipulation using Pre-trained Vision-Language Models

概述 提出MOO: Manipulation of Open-World Objects 用预训练的VLM在图像中标记instruction的object的坐标,传入policy进行控制,可以zero-shot泛化到novel object,还支持手指、点击输入指令。 问题 机器人泛化到训练中没有见 ......

SiReN Sign-Aware Recommendation Using Graph Neural Networks论文阅读笔记

Abstract 目前使用GNN的推荐系统主要利用高评分的正向用户-物品交互信息。但是如何利用低评分来表示用户的偏好是一个挑战,因为低评分仍然可以提供有用的信息。所以在本文中提出了基于GNN模型的有符号感知推荐系统SiReN,SiReN有三个关键组件 构造一个符号二部图更精确的表示用户的偏好,分为两 ......

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]], [[ ......

Object detection in optical remote sensing images: A survey and a new benchmark

Object detection in optical remote sensing images: A survey and a new benchmark 光学遥感图像中的目标检测:调查和新基准 最近人们投入了大量的精力来提出光学遥感图像中物体检测的各种方法。然而,目前对光学遥感图像中目标检测的 ......
detection benchmark optical sensing Object

Java第十一课_内部类,Object类,枚举和异常

1.内部类 一般内部类 public class Pratice { public static void main(String[] args) { /* 内部类 : 描述事物内部的事物 ; 就是一个类定义在另一个类的内部 当内部类定义在成员变量的位置上时,可以被成员修饰符修饰,修饰后会具备修饰符 ......
Object Java