Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Model Zoo
| 骨架网络 |
网络类型 |
每张GPU图片个数 |
学习率策略 |
推理时间(fps) |
Box AP |
Mask AP |
下载 |
配置文件 |
| ResNet50-FPN |
Cascade Faster |
1 |
1x |
---- |
41.1 |
- |
下载链接 |
配置文件 |
| ResNet50-FPN |
Cascade Mask |
1 |
1x |
---- |
41.8 |
36.3 |
下载链接 |
配置文件 |
| ResNet50-vd-SSLDv2-FPN |
Cascade Faster |
1 |
1x |
---- |
44.4 |
- |
下载链接 |
配置文件 |
| ResNet50-vd-SSLDv2-FPN |
Cascade Faster |
1 |
2x |
---- |
45.0 |
- |
下载链接 |
配置文件 |
| ResNet50-vd-SSLDv2-FPN |
Cascade Mask |
1 |
1x |
---- |
44.9 |
39.1 |
下载链接 |
配置文件 |
| ResNet50-vd-SSLDv2-FPN |
Cascade Mask |
1 |
2x |
---- |
45.7 |
39.7 |
下载链接 |
配置文件 |
Citations
@article{Cai_2019,
title={Cascade R-CNN: High Quality Object Detection and Instance Segmentation},
ISSN={1939-3539},
url={http://dx.doi.org/10.1109/tpami.2019.2956516},
DOI={10.1109/tpami.2019.2956516},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
author={Cai, Zhaowei and Vasconcelos, Nuno},
year={2019},
pages={1–1}
}
