Ppedcrf Sensnet

--- license: apache-2.0 library_name: huggingface_hub pipeline_tag: image-segmentation tags: - model_hub_mixin - pytorch_model_hub_mixin --- # PPEDCRF: Privacy-Preserving Enhanced Dynamic CRF PPEDCRF is a framework for location-privacy protection in dashcam videos. It identifies and tracks location-sensitive background regions using a dynamic Conditional Random Field (CRF) and applies calibrated perturbations to these regions while preserving foreground detection and segmentation utility. This repository contains the sensitive-region predictor (**SensNet**) component of the framework. - **Paper:** [PPEDCRF: Privacy-Preserving Enhanced Dynamic CRF for Location-Privacy Protection for Sequence Videos with Minimal Detection Degradation](https://huggingface.co/papers/2603.01593) - **Code:** [GitHub Repository](https://github.com/mabo1215/PPEDCRF) ## Usage This model is intended to be used with the official [research codebase](https://github.com/mabo1215/PPEDCRF). ### Installation ```bash git clone https://github.com/mabo1215/PPEDCRF.git cd PPEDCRF pip install -r src/requirements.txt ``` ### Video Protection To use this pre-trained checkpoint to protect video clips: ```bash python src/main.py --config src/config/config.yaml protect --checkpoint mabo1215/ppedcrf-sensnet ``` ## Citation ```bibtex @article{ma2024ppedcrf, title={PPEDCRF: Privacy-Preserving Enhanced Dynamic CRF for Location-Privacy Protection for Sequence Videos with Minimal Detection Degradation}, author={Ma, Bo and Wu, Jinsong and Yan, Weiqi and Shi, Catherine and Nguyen, Minh}, journal={arXiv preprint arXiv:2603.01593}, year={2024} } ```

Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Library huggingface_hub · Repo mabo1215/ppedcrf-sensnet