数据标注

女爷i 2022-05-31 01:23 178阅读 0赞

MICCAI

【回顾】视见医疗陈浩：从MICCAI2017一窥医疗影像的最近进展

multi instance learning

active learning

[Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis： Actively and Incrementally][Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis_ Actively and Incrementally]

[Active learning-Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively a][Active learning-Fine-tuning Convolutional Neural Networks for Biome_dical Image Analysis_ Actively a]

[【人工智能】Active Learning: 一个降低深度学习时间，空间，经济成本的解决方案][Active Learning_]

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

dual learning

[对偶学习：一种新的机器学习范式，数据标注成本从2000万美元降到200万][2000_200]

https://github.com/NonameAuPlatal/Dual\_Learning

https://github.com/thompsonb/DL4MT

伪标签学习

[【译文】伪标签学习导论 - 一种半监督学习方法][2000_200]

https://github.com/shubhamjn1/Pseudo-Labelling---A-Semi-supervised-learning-technique

[伪标签：教你玩转无标签数据的半监督学习方法][Link 1]

Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

弱监督object detection

Weakly Supervised Deep Detection Networks

https://github.com/zhusiwei93/Weakly-Supervised-Object-Detection

https://github.com/yanxp/Weakly-object-detection

弱监督分割

[见微知著：语义分割中的弱监督学习][Link 2]

[论文笔记 | BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation][_ BoxSup_ Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation]

[【图像】初识弱监督下的图像语义分割][Link 3]

融合先验知识

deep learning with Domain Knowledge

Label-Free Supervision of Neural Networks with Physics and Domain Knowledge

https://www.leiphone.com/news/201702/VwOQays57XUF0aT5.html

http://www.sohu.com/a/125922514\_465975

Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet

Integrating statistical prior knowledge into convolutional neural network

[深度学习（机器学习）的下一步如何发展？][Link 4]

[Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis_ Actively and Incrementally]: http://blog.csdn.net/u014380165/article/details/76946425#comments
[Active learning-Fine-tuning Convolutional Neural Networks for Biome_dical Image Analysis_ Actively a]: http://blog.csdn.net/pandav5/article/details/72594192
[Active Learning_]: https://zhuanlan.zhihu.com/p/28202564
[2000_200]: https://zhuanlan.zhihu.com/p/29886875
[Link 1]: https://yq.aliyun.com/articles/215222
[Link 2]: https://mp.weixin.qq.com/s/Amr34SdrPZho1GQpFS7WBA
[_ BoxSup_ Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation]: http://blog.csdn.net/bea_tree/article/details/52156632
[Link 3]: http://blog.csdn.net/lakerszjb/article/details/78220420
[Link 4]: https://www.zhihu.com/question/47602063