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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}
}