Fence Inspection at Airports Using Object Detection

WACV Workshop Paper 2024

This repository contains the data for the paper "Fence Inspection at Airports Using Object Detection" from the "Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops 2024".

1. Training weights & metadata of the best models:

   • YOLOv5 from section 4.5 with automated hyperparameter tuning: Zenodo
   • YOLOv5 from section 4.8 with a higher image resolution of 624×960 (vs. 512×768 before): Zenodo

2. Training weights & metadata of the best MMDetection models TOOD and VFNet:

   • TOOD from section 4.6 with a ConvNeXt-T backbone: Zenodo
   • VFNet from section 4.6 with a Res2Net backbone: Zenodo

Citation

If you find this repository or the linked models helpful, please consider citing:

@InProceedings{Friederich_2024_WACV,
    author    = {Friederich, Nils and Specker, Andreas and Beyerer, Jürgen},
    title     = {Security Fence Inspection at Airports Using Object Detection},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
    month     = {January},
    year      = {2024},
    pages     = {310-319}
}