@article{Kirillov_2019,
title={Panoptic Feature Pyramid Networks},
ISBN={9781728132938},
url={http://dx.doi.org/10.1109/CVPR.2019.00656},
DOI={10.1109/cvpr.2019.00656},
journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
publisher={IEEE},
author={Kirillov, Alexander and Girshick, Ross and He, Kaiming and Dollar, Piotr},
year={2019},
month={Jun}
}| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | download |
|---|---|---|---|---|---|---|---|---|
| FPN | R-50 | 512x1024 | 80000 | 2.8 | 13.54 | 74.52 | 76.08 | model | log |
| FPN | R-101 | 512x1024 | 80000 | 3.9 | 10.29 | 75.80 | 77.40 | model | log |
| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | download |
|---|---|---|---|---|---|---|---|---|
| FPN | R-50 | 512x512 | 160000 | 4.9 | 55.77 | 37.49 | 39.09 | model | log |
| FPN | R-101 | 512x512 | 160000 | 5.9 | 40.58 | 39.35 | 40.72 | model | log |