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cyx fd10379aea | 1 year ago | |
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README.md | 1 year ago | |
faster_rcnn_r50_fpn_1x_cityscapes.py | 1 year ago | |
mask_rcnn_r50_fpn_1x_cityscapes.py | 1 year ago |
@inproceedings{Cordts2016Cityscapes,
title={The Cityscapes Dataset for Semantic Urban Scene Understanding},
author={Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
booktitle={Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2016}
}
cityscapes_train
, and tested on cityscapes_val
.CityscapesDataset
implemented three evaluation methods. bbox
and segm
are standard COCO bbox/mask AP. cityscapes
is the cityscapes dataset official evaluation, which may be slightly higher than COCO.Backbone | Style | Lr schd | Scale | Mem (GB) | Inf time (fps) | box AP | Config | Download |
---|---|---|---|---|---|---|---|---|
R-50-FPN | pytorch | 1x | 800-1024 | 5.2 | - | 40.3 | config | model | log |
Backbone | Style | Lr schd | Scale | Mem (GB) | Inf time (fps) | box AP | mask AP | Config | Download |
---|---|---|---|---|---|---|---|---|---|
R-50-FPN | pytorch | 1x | 800-1024 | 5.3 | - | 40.9 | 36.4 | config | model | log |
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