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杨培文 (Yang Peiwen) e0cb8666a5
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nas_fcos_fcoshead_r50_caffe_fpn_gn-head_4x4_1x_coco.py
nas_fcos_nashead_r50_caffe_fpn_gn-head_4x4_1x_coco.py

README.md

NAS-FCOS: Fast Neural Architecture Search for Object Detection

Introduction

@article{wang2019fcos,
  title={Nas-fcos: Fast neural architecture search for object detection},
  author={Wang, Ning and Gao, Yang and Chen, Hao and Wang, Peng and Tian, Zhi and Shen, Chunhua},
  journal={arXiv preprint arXiv:1906.04423},
  year={2019}
}

Results and Models

Head Backbone Style GN-head Lr schd Mem (GB) Inf time (fps) box AP Config Download
NAS-FCOSHead R-50 caffe Y 1x 39.4 config model | log
FCOSHead R-50 caffe Y 1x 38.5 config model | log

Notes:

  • To be consistent with the author's implementation, we use 4 GPUs with 4 images/GPU.