This repository contains code for Res2Net based on Res2Net: A New Multi-scale Backbone Architecture implemented in PyTorch.
python train.py --dataset cifar100 --arch res2next29_6cx24wx4scale
python train.py --dataset cifar100 --arch res2next29_8cx25wx4scale
python train.py --dataset cifar100 --arch res2next29_6cx24wx6scale
python train.py --dataset cifar100 --arch res2next29_6cx24wx4scale_se
python train.py --dataset cifar100 --arch res2next29_8cx25wx4scale_se
python train.py --dataset cifar100 --arch res2next29_6cx24wx6scale_se
python train.py --dataset imagenet --imagenet-dir </path/to/data> --arch res2net50 --epoch 100 --milestones 30 --weight-decay 1e-4
python train.py --dataset imagenet --imagenet-dir </path/to/data> --arch res2net101 --epoch 100 --milestones 30 --weight-decay 1e-4
python train.py --dataset imagenet --imagenet-dir </path/to/data> --arch res2net152 --epoch 100 --milestones 30 --weight-decay 1e-4
python train.py --dataset imagenet --imagenet-dir </path/to/data> --arch res2next50_32x4d --epoch 100 --milestones 30 --weight-decay 1e-4
python train.py --dataset imagenet --imagenet-dir </path/to/data> --arch se_res2net50 --epoch 100 --milestones 30 --weight-decay 1e-4
Coming soon...