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README.md | 3 years ago | |
faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.yml | 3 years ago | |
mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.yml | 3 years ago | |
mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.yml | 3 years ago |
@article{DBLP:journals/corr/abs-1904-01169,
author = {Shanghua Gao and
Ming{-}Ming Cheng and
Kai Zhao and
Xinyu Zhang and
Ming{-}Hsuan Yang and
Philip H. S. Torr},
title = {Res2Net: {A} New Multi-scale Backbone Architecture},
journal = {CoRR},
volume = {abs/1904.01169},
year = {2019},
url = {http://arxiv.org/abs/1904.01169},
archivePrefix = {arXiv},
eprint = {1904.01169},
timestamp = {Thu, 25 Apr 2019 10:24:54 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1904-01169},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Backbone | Type | Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP | Download | Configs |
---|---|---|---|---|---|---|---|---|
Res2Net50-FPN | Faster | 2 | 1x | - | 40.6 | - | model | config |
Res2Net50-FPN | Mask | 2 | 2x | - | 42.4 | 38.1 | model | config |
Res2Net50-vd-FPN | Mask | 2 | 2x | - | 42.6 | 38.1 | model | config |
Note: all the above models are trained with 8 gpus.
PaddleDetection
Python Jupyter Notebook Markdown C++ Java other
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