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2.6 KiB
Res2Net
Introduction
- Res2Net: A New Multi-scale Backbone Architecture: https://arxiv.org/abs/1904.01169
@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}
}
Model Zoo
Backbone | Type | deformable Conv | Image/gpu | Lr schd | Inf time (fps) | Box AP | Mask AP | Download | Configs |
---|---|---|---|---|---|---|---|---|---|
Res2Net50-FPN | Faster | False | 2 | 1x | 20.320 | 39.5 | - | model | config |
Res2Net50-FPN | Mask | False | 2 | 2x | 16.069 | 40.7 | 36.2 | model | config |
Res2Net50-vd-FPN | Mask | False | 2 | 2x | 15.816 | 40.9 | 36.2 | model | config |
Res2Net50-vd-FPN | Mask | True | 2 | 2x | 14.478 | 43.5 | 38.4 | model | config |