[Paper note] Feature Pyramid Networks for Object Detection
来源:互联网 发布:ubuntu 16.04 64位 编辑:程序博客网 时间:2024/05/16 12:43
- paper
Intuition
- Multi-scale is important in traditional methods
- Current detection system use single shot CNN to save time and memory (Faster R-CNN)
- CNN is capable of representing higher-level semantics, but not all levels are semantically strong
- Single Shot Detector (SSD) is one of the first attempts at using ConvNet’s pyramidal feature, but they add new layers after high up layer, which may lose information in high-resolution feature map
- Main contribution: perform multi-scale in the network
Model
- Feature Pyramid Network (FPN) building block
- The feature maps in the picture above are from the last layer of each stage in ConvNet
- Nearest neighbor upsampling
- Denotes final set of feature maps as
{P2,P3,P4,P5} , corresponding to{C2,C3,C4,C5}
- FPN in Region Proposal Network (RPN)
- Replacing single-scale feature map with FPN
- Anchors with different aspect ratios: 1:2, 1:1, 2:1
- 15 anchors over the pyramid
- FPN in Fast R-CNN
Experiment
- Evaluate on COCO
minival
set - Surpass 2016 COCO winner
- Lateral and top-down connection is helpful
0 0
- [Paper note] Feature Pyramid Networks for Object Detection
- READING NOTE: Feature Pyramid Networks for Object Detection
- Feature Pyramid Networks for Object Detection
- Feature Pyramid Networks for Object Detection
- Feature Pyramid Networks for Object Detection 总结
- Feature Pyramid Networks for Object Detection 论文笔记
- 目标检测--Feature Pyramid Networks for Object Detection
- 目标检测“Feature Pyramid Networks for Object Detection”
- 论文笔记:Feature Pyramid Networks for Object Detection
- Feature Pyramid Networks for Object Detection 学习笔记
- 论文解读之Feature Pyramid Networks for Object Detection
- FPN(Feature Pyramid Networks for Object Detection)安装与训练
- Feature Pyramid Networks for Object Detection 阅读笔记
- [水水文]Feature Pyramid Networks for Object Detection
- Object Detection -- 论文FPN(Feature Pyramid Networks for Object Detection)解读
- FPN Feature Pyramid Network for Object Detection
- 目标检测 Feature Pyramid Networks for Object Detection(FPN)论文笔记
- 特征金字塔特征用于目标检测:Feature Pyramid Networks for Object Detection
- android framework 添加系统服务
- fedora samba
- Centos7卸载JDK
- 判断网络连接状态
- dubbo
- [Paper note] Feature Pyramid Networks for Object Detection
- 【Unity&XML&JSON】浅谈XML与JSON等游戏数据存储的优劣
- JavaScript拼接传参数报异常
- <Context path="" docBase="reports" debug="0" reloadable="true"/> 中 debug 参数解释
- eclipse下的mybatis插件:MyBatipse
- oracle sql 获取当天一整天时间
- 1 第一个网络爬虫(4)
- nodejs + Encharjs 搭建服务器显示领导行程路径
- _ITERATOR_DEBUG_LEVEL': value '2' doesn't match value '0' in xxx.obj