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mask_rcnn_res2net50_vd_26w_4s_fpn_dcnv2_1x.yml	第一次提交	2022-06-01 11:18:00 +08:00

README.md

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