semanticfpn

Introduction

Official Repo

Code Snippet

Semantic FPN (CVPR'2019)

@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}
}

Results

PASCAL VOC

Backbone	Pretrain	Crop Size	Schedule	Train/Eval Set	mIoU	Download
R-50-D32	ImageNet-1k-224x224	512x512	LR/POLICY/BS/EPOCH: 0.01/poly/16/60	trainaug/val	70.88%	cfg | model | log
R-101-D32	ImageNet-1k-224x224	512x512	LR/POLICY/BS/EPOCH: 0.01/poly/16/60	trainaug/val	72.51%	cfg | model | log

ADE20k

Backbone	Pretrain	Crop Size	Schedule	Train/Eval Set	mIoU	Download
R-50-D32	ImageNet-1k-224x224	512x512	LR/POLICY/BS/EPOCH: 0.01/poly/16/130	train/val	38.16%	cfg | model | log
R-101-D32	ImageNet-1k-224x224	512x512	LR/POLICY/BS/EPOCH: 0.01/poly/16/130	train/val	39.85%	cfg | model | log

CityScapes

Backbone	Pretrain	Crop Size	Schedule	Train/Eval Set	mIoU	Download
R-50-D32	ImageNet-1k-224x224	512x1024	LR/POLICY/BS/EPOCH: 0.01/poly/8/220	train/val	76.09%	cfg | model | log
R-101-D32	ImageNet-1k-224x224	512x1024	LR/POLICY/BS/EPOCH: 0.01/poly/8/220	train/val	76.39%	cfg | model | log

More

You can also download the model weights from following sources:

• BaiduNetdisk: https://pan.baidu.com/s/1gD-NJJWOtaHCtB0qHE79rA with access code s757