History

谢昕辰 725d5aa002 [Feature] support mim (#549 ) * dice loss * format code, add docstring and calculate denominator without valid_mask * minor change * restore * add metafile * add manifest.in and add config at setup.py * add requirements * modify manifest * modify manifest * Update MANIFEST.in * add metafile * add metadata * fix typo * Update metafile.yml * Update metafile.yml * minor change * Update metafile.yml * add subfix * fix mmshow * add more metafile * add config to model_zoo * fix bug * Update mminstall.txt * [fix] Add models * [Fix] Add collections * [fix] Modify collection name * [Fix] Set datasets to unet metafile * [Fix] Modify collection names * complement inference time		2021-05-31 15:07:24 -07:00
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README.md	comment tag (#505 )	2021-04-24 09:58:59 -07:00
fpn_r50_512x512_160k_ade20k.py	Add Semantic FPN (#94 )	2020-09-03 19:56:36 +08:00
fpn_r50_512x1024_80k_cityscapes.py	Add Semantic FPN (#94 )	2020-09-03 19:56:36 +08:00
fpn_r101_512x512_160k_ade20k.py	Add Semantic FPN (#94 )	2020-09-03 19:56:36 +08:00
fpn_r101_512x1024_80k_cityscapes.py	Add Semantic FPN (#94 )	2020-09-03 19:56:36 +08:00
metafile.yml	[Feature] support mim (#549 )	2021-05-31 15:07:24 -07:00

README.md

Panoptic Feature Pyramid Networks

Introduction

@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 and models

Cityscapes

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
FPN	R-50	512x1024	80000	2.8	13.54	74.52	76.08	config	model \| log
FPN	R-101	512x1024	80000	3.9	10.29	75.80	77.40	config	model \| log

ADE20K

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
FPN	R-50	512x512	160000	4.9	55.77	37.49	39.09	config	model \| log
FPN	R-101	512x512	160000	5.9	40.58	39.35	40.72	config	model \| log