Object Detection

"Recent Advances in Deep Learning for Object Detection"

출처 : https://arxiv.org/pdf/1908.03673v1.pdf

 

제목	링크	출판연도	관련링크
FCOS: Fully Convolutional One-Stage Object Detection	https://arxiv.org/pdf/1904.01355.pdf	19.04	https://github.com/tianzhi0549/FCOS
CenterNet: Keypoint Triplets for Object Detection	https://arxiv.org/pdf/1904.08189.pdf	19.04	https://github.com/xingyizhou/CenterNet
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection	https://arxiv.org/abs/1904.07392	19.04	https://github.com/TuSimple/simpledet/tree/master/models/NASFPN
EfficientDet: Scalable and Efficient Object Detection	https://arxiv.org/pdf/1911.09070.pdf	19.11	https://hoya012.github.io/blog/EfficientDet-Review/ https://github.com/xuannianz/EfficientDet
Cascade R-CNN: High Quality Object Detection and Instance Segmentation	https://arxiv.org/pdf/1906.09756.pdf	19.06	https://github.com/zhaoweicai/Detectron-Cascade-RCNN
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network	https://arxiv.org/pdf/1811.04533.pdf	18.11	https://github.com/qijiezhao/M2Det

 

https://hoya012.github.io/blog/Tutorials-of-Object-Detection-Using-Deep-Learning-how-to-measure-performance-of-object-detection/

“Tutorials of Object Detection using Deep Learning [4] How to measure performance of object detection”