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cyx fd10379aea | 1 year ago | |
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README.md | 1 year ago | |
crpn_fast_rcnn_r50_caffe_fpn_1x_coco.py | 1 year ago | |
crpn_faster_rcnn_r50_caffe_fpn_1x_coco.py | 1 year ago | |
crpn_r50_caffe_fpn_1x_coco.py | 1 year ago |
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}
}
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 |
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 |
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