VOS: Learning What You Don’t Know by Virtual Outlier Synthesis

This is the source code accompanying the paper VOS: Learning What You Don’t Know by Virtual Outlier Synthesis by Xuefeng Du, Zhaoning Wang, Mu Cai, and Yixuan Li

The codebase is heavily based on ProbDet and Detectron2.

Dataset Preparation

PASCAL VOC

Download the processed VOC 2007 and 2012 dataset from here.

The VOC dataset folder should have the following structure:

 └── VOC_DATASET_ROOT
     |
     ├── JPEGImages
     ├── voc0712_train_all.json
     └── val_coco_format.json

COCO

Download COCO2017 dataset from the official website.

Download the OOD dataset (json file) when the in-distribution dataset is Pascal VOC from here.

Download the OOD dataset (json file) when the in-distribution

 

 

 

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