Cascade RPN
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 |
Config |
Download |
CRPN |
R-50-FPN |
caffe |
- |
- |
- |
72.0 |
config |
model |
Detection performance
Method |
Proposal |
Backbone |
Style |
Schedule |
Mem (GB) |
Train time (s/iter) |
Inf time (fps) |
box AP |
Config |
Download |
Fast R-CNN |
Cascade RPN |
R-50-FPN |
caffe |
1x |
- |
- |
- |
39.9 |
config |
model |
Faster R-CNN |
Cascade RPN |
R-50-FPN |
caffe |
1x |
- |
- |
- |
40.4 |
config |
model |