CNN(Convolution Neural Network)

The state-of-the-art(SOTA) methods can be categorized into two main types

> One-stage methods prioritize inference speed, and example models include YOLO, SSD and RetinaNet.

> Two-stage methods prioritize detection accuracy, and example models include Faster R-CNN, Mask R-CNN and Cascade R-CNN.

★Object Detection （物体検出）

Benchmarks

2015 Fast R-CNNとRoI pooling

2015 Faster R-CNNとRegion Proposal Networks

2015 YOLOとOne stage detector

2017 RetinaNetとFocal Loss

2018 M2DetとMulti-Level FPN

2019 Cascade R-CNN

2019 CBNet