HugoHE
/

m-hood

Object Detection

computer-vision

autonomous-driving

hallucination-mitigation

out-of-distribution

benchmark-analysis

Eval Results (legacy)

Model card Files Files and versions

HugoHE commited on Jun 30, 2025

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@@ -51,8 +51,9 @@ model-index:
 # M-Hood: Models for Mitigating Hallucinations in Object Detection
-[![Paper](https://img.shields.io/badge/Paper-PDF-red)](https://gricad-gitlab.univ-grenoble-alpes.fr/dnn-safety/m-hood) <!-- Replace with actual paper link when available -->
-[![Datasets](https://img.shields.io/badge/Code%20%26%20Datasets-GitLab-orange)](https://huggingface.co/datasets/HugoHE/m-hood-dataset)
 This repository contains the official models from the paper **"Mitigating Hallucinations in Object Detection Models: A Revisit to Out-of-Distribution Detection"**. It provides a collection of YOLOv10 and Faster R-CNN models, including both standard ("vanilla") baselines and our novel **fine-tuned models** designed to significantly reduce false positive detections on out-of-distribution (OoD) data.

 # M-Hood: Models for Mitigating Hallucinations in Object Detection
+[![Paper](https://img.shields.io/badge/Paper-PDF-red)](https://arxiv.org/pdf/2503.07330) <!-- Replace with actual paper link when available -->
+[![Code](https://img.shields.io/badge/Code-GitLab-orange)](https://gricad-gitlab.univ-grenoble-alpes.fr/dnn-safety/m-hood)
+[![Dataset](https://img.shields.io/badge/Dataset-HuggingFace-blue)](https://huggingface.co/datasets/HugoHE/m-hood-dataset)
 This repository contains the official models from the paper **"Mitigating Hallucinations in Object Detection Models: A Revisit to Out-of-Distribution Detection"**. It provides a collection of YOLOv10 and Faster R-CNN models, including both standard ("vanilla") baselines and our novel **fine-tuned models** designed to significantly reduce false positive detections on out-of-distribution (OoD) data.