PaddleDetection/configs/cascade_rcnn

• Cascade R-CNN: High Quality Object Detection and Instance Segmentation
• • Model Zoo
  • Citations

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}
}