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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 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.