Create 2 containers: "activelearningimages" and "activelearninglabels" Upload unzipped folder with images to "activelearningimages" container. On Linux box aka Model (re)training env Setup Tensorflow Object Detection API if you have not already. This will include cloning of https://github.com/...
Active Learning For Object Detection. Contribute to nhatipoglu/Active-Learning-For-Object-Detection development by creating an account on GitHub.
https://github.com/baifanxxx/awesome-active-learning Note:前 1、2、3 节都是一些主动学习基础内容,也有很多文章做过类似的整理和介绍,如果你已经很了解了,可以直接跳到 4 节以后阅读。 介绍 主动学习是一种通过主动选择最有价值的样本进行标注的机器学习或人工智能方法。其目的是使用尽可能少的、高质量的样本...
https://github.com/baifanxxx/awesome-active-learning Note:前 1、2、3 节都是一些主动学习基础内容,也有很多文章做过类似的整理和介绍,如果你已经很了解了,可以直接跳到 4 节以后阅读。 介绍 主动学习是一种通过主动选择最有价值的样本进行标注的机器学习或人工智能方法。其目的是使用尽可能少的、高质量的样本...
Active learning (AL) is a paradigm to incrementally and adaptively build training datasets with a human in the loop. However, current AL based acquisition functions are not well-equipped to mine rare slices of data from large real-world datasets, since they are based on uncertainty scores or ...
Scripts for the DSVM + Tensorflow object detection pipeline Here we outline the key scripts we developed (see projectGitHub repository)to run the pipeline on the Data Science Virtual Machine and Tensorflow Object Detection. You can also find a video walk-through showing how to run the ...
论文:Multiple Instance Active Learning for Object Detection 该论文首次提出了多实例主动目标检测(MI-AOD)方法,并详细阐述了其实现原理和实验结果。 实验结果表明,MI-AOD在PASCAL VOC和MS COCO数据集上均取得了显著的性能提升。 代码:GitHub - yuantn/MI-AOD 该代码库提供了MI-AOD方法的实现代码,包括数据预处...
这是Multiple Instance Active Learning for Object Detection(用于目标检测的多示例主动学习方法) , CVPR 2021 一文的代码。 任务描述 在本文中,我们提出了 多示例主动目标检测(MI-AOD) ,通过观察示例级的不确定性来选择信息量最大的图像用于检测器的训练。 主动目标检测(用于目标检测的主动学习)的流程如下图所示。
同时,作者以后继续阅读主动学习领域的文章,有不错和值得推荐的文章,会实时更新到 github 【awesome-active-learning】—https://github.com/baifanxxx/awesome-active-learning的 paper list 里,大家可以通过这个list最快地阅读最新最重要的文章,也欢迎大家推荐一些文章和一起交流。
PyTorch implementation of our paper:Plug and Play Active Learning for Object Detection Requirements Our codebase is built on top ofMMDetection, which can be installed following the offcial instuctions. Usage Installation python setup.py install ...