GitHub | Facebook重磅开源目标检测工具！标星超2万+

点上方蓝字计算机视觉联盟获取更多干货

在右上方 ··· 设为星标 ★，与你不见不散

编辑：Sophia              |  联盟学习笔记
计算机视觉联盟  报道  | 公众号 CVLianMeng

转载于 ： Github

Detectron是Facebook人工智能研究的软件系统，它实现了最先进的目标检测算法，包括Mask R-CNN。它是用python编写的，由caffe2深度学习框架提供支持。

在博览会上，Detectron已经启动了许多研究项目，包括：用于物体检测的特征金字塔网络、掩模R-CNN、检测和识别人类与物体的相互作用、用于密集物体检测的焦点损失、非局部神经网络、学习分割每件事物、数据蒸馏：对于全方位监督学习，Densepose：野外密集人体姿势估计和群体规范化。

Detectron的目标是为目标检测研究提供高质量、高性能的代码库。 它的设计是灵活的，以支持新研究的快速实施和评估。 Detectron包括以下目标检测算法的实现：

• Mask R-CNN -- Marr Prize at ICCV 2017

• RetinaNet -- Best Student Paper Award at ICCV 2017

• Faster R-CNN

• RPN

• Fast R-CNN

• R-FCN

using the following backbone network architectures:

• ResNeXt{50,101,152}

• ResNet{50,101,152}

• Feature Pyramid Networks (with ResNet/ResNeXt)

• VGG16

@misc{Detectron2018,	
  author =       {Ross Girshick and Ilija Radosavovic and Georgia Gkioxari and	
                  Piotr Doll\'{a}r and Kaiming He},	
  title =        {Detectron},	
  howpublished = {\url{https://github.com/facebookresearch/detectron}},	
  year =         {2018}	
}

References

• Data Distillation: Towards Omni-Supervised Learning. Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, and Kaiming He. Tech report, arXiv, Dec. 2017.

• Learning to Segment Every Thing. Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, and Ross Girshick. Tech report, arXiv, Nov. 2017.

• Non-Local Neural Networks. Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He. Tech report, arXiv, Nov. 2017.

• Mask R-CNN. Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. IEEE International Conference on Computer Vision (ICCV), 2017.

• Focal Loss for Dense Object Detection. Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár. IEEE International Conference on Computer Vision (ICCV), 2017.

• Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He. Tech report, arXiv, June 2017.

• Detecting and Recognizing Human-Object Interactions. Georgia Gkioxari, Ross Girshick, Piotr Dollár, and Kaiming He. Tech report, arXiv, Apr. 2017.

• Feature Pyramid Networks for Object Detection. Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

• Aggregated Residual Transformations for Deep Neural Networks. Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

• R-FCN: Object Detection via Region-based Fully Convolutional Networks. Jifeng Dai, Yi Li, Kaiming He, and Jian Sun. Conference on Neural Information Processing Systems (NIPS), 2016.

• Deep Residual Learning for Image Recognition. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Conference on Neural Information Processing Systems (NIPS), 2015.

• Fast R-CNN. Ross Girshick. IEEE International Conference on Computer Vision (ICCV), 2015.

Github地址

https://github.com/facebookresearch/Detectron?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more

END

声明：本文来源于联盟学习笔记

如有侵权，联系删除

加群交流

欢迎加入CV联盟群获取CV和ML等领域前沿资讯

扫描添加CV联盟微信拉你进群，备注：CV联盟

Github热文荐读

点个在看支持一下吧