@inproceedings{Yulitehrnet21,
title={Lite-HRNet: A Lightweight High-Resolution Network},
author={Yu, Changqian and Xiao, Bin and Gao, Changxin and Yuan, Lu and Zhang, Lei and Sang, Nong and Wang, Jingdong},
booktitle={CVPR},
year={2021}
}
@inproceedings{lin2014microsoft,
title={Microsoft coco: Common objects in context},
author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
booktitle={European conference on computer vision},
pages={740--755},
year={2014},
organization={Springer}
}
Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 dataset
Arch | Input Size | AP | AP50 | AP75 | AR | AR50 | ckpt | log |
---|---|---|---|---|---|---|---|---|
LiteHRNet-18 | 256x192 | 0.642 | 0.867 | 0.719 | 0.705 | 0.911 | ckpt | log |
LiteHRNet-18 | 384x288 | 0.676 | 0.876 | 0.746 | 0.735 | 0.919 | ckpt | log |
LiteHRNet-30 | 256x192 | 0.676 | 0.880 | 0.756 | 0.736 | 0.922 | ckpt | log |
LiteHRNet-30 | 384x288 | 0.700 | 0.883 | 0.776 | 0.758 | 0.926 | ckpt | log |