object detection 总结
1、基础
自己对于YOLOV1,2,3都比较熟悉。 RCNN也比较熟悉。这个是自己目前掌握的基础
2、第一步
看一下2019年的井喷的anchor free的网络
3、第二步
看一下以往,引用多的网路
4、第三步
看一下,2020最新的,但是在pwcode上面排名靠前的网络
2020优秀论文:
EfficientDet: Scalable and Efficient Object Detection,57
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Rethinking Pre-training and Self-training
Revisiting the Sibling Head in Object Detector
Deep High-Resolution Representation Learning for Visual Recognition*52
HoughNet: Integrating near and long-range evidence for bottom-up object detection ??
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network,101
优秀论文:
Acquisition of Localization Confidence for Accurate Object Detection,182
Scale-Aware Trident Networks for Object Detection,141
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond,107
Path Aggregation Network for Instance Segmentation,400
Hybrid Task Cascade for Instance Segmentation ,139
SNIPER: Efficient Multi-Scale Training,141
Deformable ConvNets v2: More Deformable, Better Results,188
An Analysis of Scale Invariance in Object Detection - SNIP,218
Single-Shot Refinement Neural Network for Object Detection,414
Attention Augmented Convolutional Networks,58
SaccadeNet: A Fast and Accurate Object Detector
two stage:
Grid R-CNN, plus,46
Cascade R-CNN: Delving into High Quality Object Detection,571
Libra R-CNN: Towards Balanced Learning for Object Detection,115
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
one stage:
ExtremNet :Bottom-up Object Detection by Grouping Extreme and Center Points 2019,129
YoLOV5
YOLOv4: Optimal Speed and Accuracy of Object Detection*,17
anchor free的网络:
Scale-Equalizing Pyramid Convolution for Object Detection,2020
FoveaBox: Beyond Anchor-based Object Detector 2019,52
CornerNet: Detecting Objects as Paired Keypoints 2018 ,445
CornerNet-Lite (2019) (https://arxiv.org/abs/1904.08900)
CenterNet: Keypoint Triplets for Object Detection 2019,129
FCOS: Fully Convolutional One-Stage Object Detection 2019,206
Feature Selective Anchor-Free Module for Single-Shot Object Detection,144
object detection 总结的更多相关文章
- tensorfolw配置过程中遇到的一些问题及其解决过程的记录(配置SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving)
今天看到一篇关于检测的论文<SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real- ...
- 论文阅读(Chenyi Chen——【ACCV2016】R-CNN for Small Object Detection)
Chenyi Chen--[ACCV2016]R-CNN for Small Object Detection 目录 作者和相关链接 方法概括 创新点和贡献 方法细节 实验结果 总结与收获点 参考文献 ...
- deep learning on object detection
回归工作一周,忙的头晕,看了两三篇文章,主要在写各种文档和走各种办事流程了-- 这次来写写object detection最近看的三篇文章吧.都不是最近的文章,但是是今年的文章,我也想借此让自己赶快熟 ...
- 论文阅读之 DECOLOR: Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
DECOLOR: Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation Xia ...
- 目标检测--Rich feature hierarchies for accurate object detection and semantic segmentation(CVPR 2014)
Rich feature hierarchies for accurate object detection and semantic segmentation 作者: Ross Girshick J ...
- object detection技术演进:RCNN、Fast RCNN、Faster RCNN
object detection我的理解,就是在给定的图片中精确找到物体所在位置,并标注出物体的类别.object detection要解决的问题就是物体在哪里,是什么这整个流程的问题.然而,这个问题 ...
- TensorFlow Object Detection API(Windows下测试)
"Speed/accuracy trade-offs for modern convolutional object detectors." Huang J, Rathod V, ...
- Object Detection · RCNN论文解读
转载请注明作者:梦里茶 Object Detection,顾名思义就是从图像中检测出目标对象,具体而言是找到对象的位置,常见的数据集是PASCAL VOC系列.2010年-2012年,Object D ...
- 使用TensorFlow Object Detection API+Google ML Engine训练自己的手掌识别器
上次使用Google ML Engine跑了一下TensorFlow Object Detection API中的Quick Start(http://www.cnblogs.com/take-fet ...
- Object Detection︱RCNN、faster-RCNN框架的浅读与延伸内容笔记
一.RCNN,fast-RCNN.faster-RCNN进化史 本节由CDA深度学习课堂,唐宇迪老师教课,非常感谢唐老师课程中的论文解读,很有帮助. . 1.Selective search 如何寻找 ...
随机推荐
- Python 实现邮件发送功能(初级)
在我们日常项目中,会经常使用到邮件的发送功能,如何利用Python发送邮件也是一项必备的技能.本文主要讲述利用Python来发送邮件的一些基本操作. 本章主要包含知识点: 邮件发送原理简述即常用smt ...
- 对Vue中的MVVM原理解析和实现
对Vue中的MVVM原理解析和实现 首先你对Vue需要有一定的了解,知道MVVM.这样才能更有助于你顺利的完成下面原理的阅读学习和编写 下面由我阿巴阿巴的详细走一遍Vue中MVVM原理的实现,这篇文章 ...
- 计算机网络学习socket--day2
1.TCP客户/服务器模型(C/S) 2.回射客户/服务器模型 3.socket.bind.listen.accept.connect ||------------------------------ ...
- Ethical Hacking - GAINING ACCESS(5)
Server Side Attack Install Metasploit cummunity/pro and active it. Create a new project for the targ ...
- Android:沉浸式状态栏(二)集成
在Activity的onCreate()方法中添加代码 //设置状态栏透明 StatusBarUtil.setTranslucentStatus(this); //设置透明状态栏的paddingTop ...
- 删除GIT中的.DS_Store
转载自:https://www.jianshu.com/p/fdaa8be7f6c3 .DS_Store 是什么 使用 Mac 的用户可能会注意到,系统经常会自动在每个目录生成一个隐藏的 .DS_St ...
- Day13_Thymeleaf简介
学于黑马和传智播客联合做的教学项目 感谢 黑马官网 传智播客官网 微信搜索"艺术行者",关注并回复关键词"乐优商城"获取视频和教程资料! b站在线视频 1.Th ...
- HTML 统一资源定位器(Uniform Resource Locators)
HTML 统一资源定位器(Uniform Resource Locators) URL 是一个网页地址.高佣联盟 www.cgewang.com URL可以由字母组成,如"runoob.co ...
- Dynmaics 365 scale group
关于scale Groups的概念,在看Dynamics crm online的时候,一直不理解缩放组scale group的概念,后来查到GP也在用这个概念,想想不就是动态扩展嘛,马上顿悟了,原来如 ...
- AbstractRoutingDataSource 实现动态数据源切换原理简单分析
AbstractRoutingDataSource 实现动态数据源切换原理简单分析 写在前面,项目中用到了动态数据源切换,记录一下其运行机制. 代码展示 下面列出一些关键代码,后续分析会用到 数据配置 ...