@inproceedings{zhang2018shufflenet,
title={Shufflenet: An extremely efficient convolutional neural network for mobile devices},
author={Zhang, Xiangyu and Zhou, Xinyu and Lin, Mengxiao and Sun, Jian},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={6848--6856},
year={2018}
}
@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 |
---|---|---|---|---|---|---|---|---|
pose_shufflenetv1 | 256x192 | 0.587 | 0.849 | 0.654 | 0.654 | 0.896 | ckpt | log |
pose_shufflenetv1 | 384x288 | 0.626 | 0.862 | 0.696 | 0.687 | 0.903 | ckpt | log |