Index
CNN を用いた物体検出アルゴリズム
CNN を用いた物体検出の手法をまとめる.
深層学習 物体検出 #まとめ編
CNN
R-CNN / 2013 -
- 物体検出の枠組みに CNN を導入した.
- R-CNN / Fast R-CNN / Faster R-CNN / Mask R-CNN / Cascade R-CNN
Region with CNN
OverFeat / 2013
- OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
- [2013]
- arxiv.org
SSD / 2015
- 複数スケールの特徴マップから、結果を出力する.
- [Google]
YOLO / 2015 -
- 2 Stage から 1 Stage へ.
You Only Look Once / 一度見るだけいい
OHEM / 2016
- Training Region-based Object Detectors with Online Hard Example Mining
- [2016]
- arxiv.org
R-FCN / 2016
- R-FCN: Object Detection via Region-based Fully Convolutional Networks
- [2016]
- arxiv.org
Feature Pyramid Network / FPN / 2016
- Feature Pyramid を導入.
- U-Net + SSD
RetinaNet / 2017
- RetinaNet
RefineDet / 2017
- Single-Shot Refinement Neural Network for Object Detection
- [2017]
- arxiv.org
Pelee / 2018
- Pelee: A Real-Time Object Detection System on Mobile Devices
- [2019]
- arxiv.org
M2Det / 2018
- M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
- [2018]
- Feature Pyramid
- arxiv.org
EfficientDet / 2019
- EfficientDet
CenterNet / 2019
- CenterNet
FCOS / 2019
GiraffeDet / 2022
- GiraffeDet
RTMDet / 2022
- RTMDet
参考
物体検出についての歴史まとめ(2)
deep learning object detection
- github.com
- 手法が時系列でまとまっている.
