Add out-of-sample results and arxiv link

README.md

@@ -27,6 +27,7 @@ pipeline_tag: object-detection
 - [Precision-Recall curve](https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/PR_curve.png) and [per class accuracy]((https://huggingface.co/FathomNet/MBARI-midwater-supercategory-detector/blob/main/plots/confusion_matrix.png)) were evaluated at test time. 
 - mAP@0.5 = 0.33515
 - Performance is quite variable depending on the target organism even when testing on in-distribution data.
+- Identified out-of-sample images with a binary metric, returning [ROC ~= 0.7](https://arxiv.org/abs/2307.08781). 
 
 ## Training and Evaluation Data
 - Training data is the [FathomNet2023 competition split](https://www.kaggle.com/competitions/fathomnet-out-of-sample-detection/overview) and internal MBARI data