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# Res2Net ## Introduction - Res2Net: A New Multi-scale Backbone Architecture: [https://arxiv.org/abs/1904.01169](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](https://paddledet.bj.bcebos.com/models/faster_rcnn_res2net50_vb_26w_4s_fpn_1x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/develop/configs/res2net/faster_rcnn_res2net50_vb_26w_4s_fpn_1x.yml) | | Res2Net50-FPN | Mask | 2 | 2x | - | 42.4 | 38.1 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/develop/configs/res2net/mask_rcnn_res2net50_vb_26w_4s_fpn_2x_coco.yml) | | Res2Net50-vd-FPN | Mask | 2 | 2x | - | 42.6 | 38.1 | [model](https://paddledet.bj.bcebos.com/models/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.pdparams) | [config](https://github.com/PaddlePaddle/PaddleDetection/develop/configs/res2net/mask_rcnn_res2net50_vd_26w_4s_fpn_2x_coco.yml) | Note: all the above models are trained with 8 gpus.