论文标题
FRODO：分布外检测的框架
FrOoDo: Framework for Out-of-Distribution Detection
论文作者
论文摘要
Frodo是一个易于使用且灵活的框架，用于数字病理中的分布外检测任务。它可以与Pytorch分类和分割模型一起使用，其模块化设计可轻松扩展。目的是自动化OOD评估任务，以便研究可以集中于设计新模型，新方法或评估新数据集的主要目标。可以在https://github.com/meclabtuda/froodo上找到该代码。
FrOoDo is an easy-to-use and flexible framework for Out-of-Distribution detection tasks in digital pathology. It can be used with PyTorch classification and segmentation models, and its modular design allows for easy extension. The goal is to automate the task of OoD Evaluation such that research can focus on the main goal of either designing new models, new methods or evaluating a new dataset. The code can be found at https://github.com/MECLabTUDA/FrOoDo.
