fcos_obb

FCOS: Fully Convolutional One-Stage Object Detection

Introduction

The oriented form of fcos.

@article{tian2019fcos,
  title={FCOS: Fully Convolutional One-Stage Object Detection},
  author={Tian, Zhi and Shen, Chunhua and Chen, Hao and He, Tong},
  journal={arXiv preprint arXiv:1904.01355},
  year={2019}
}

In order to predict direction, I add an one channel convolution layer on the top of the regression features. I concatenate the 4-dim bbox predtions and 1-dim theta predictions as the final obb predictions. following original FCOS, I use the PolyIoULoss between the obb predictions and ground-truths as the loss of bboxes.

note: Cannot predict left, right, up, bottom targets with theta togather, because direction predictions cannot share same scale module with distance preditions.

Results

Backbone	Data	Lr schd	centerness on reg	center sampling	norm on bbox	box AP
R50-FPN	DOTA1.0	1x	-	-	-	72.1