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cascade_rpn

Cascade RPN

[ALGORITHM]

We provide the code for reproducing experiment results of Cascade RPN.

@inproceedings{vu2019cascade,
  title={Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution},
  author={Vu, Thang and Jang, Hyunjun and Pham, Trung X and Yoo, Chang D},
  booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
  year={2019}
}

Benchmark

Region proposal performance

Method Backbone Style Mem (GB) Train time (s/iter) Inf time (fps) AR 1000 Download
CRPN R-50-FPN caffe - - - 72.0 model

Detection performance

Method Proposal Backbone Style Schedule Mem (GB) Train time (s/iter) Inf time (fps) box AP Download
Fast R-CNN Cascade RPN R-50-FPN caffe 1x - - - 39.9 model
Faster R-CNN Cascade RPN R-50-FPN caffe 1x - - - 40.4 model