MovingDroneCrowd Weights

--- datasets: - fyw1999/MovingDroneCrowd language: - en license: cc-by-nc-4.0 pipeline_tag: object-detection library_name: pytorch tags: - moving-drone - video-individual-counting - dense-crowd-tracking --- # MovingDroneCrowd-Weights This repository provides pretrained weights for **MovingDroneCrowd** and **MovingDroneCrowd++**, as presented in the following works: - **Extended version**: [Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods](https://huggingface.co/papers/2601.12500) - **Conference version**: [Video Individual Counting for Moving Drones](https://huggingface.co/papers/2503.10701) (ICCV 2025 Highlight) The repository includes models for video individual counting and tracking from moving drones under diverse aerial conditions. ## Links - **Code:** [https://github.com/fyw1999/MovingDroneCrowd](https://github.com/fyw1999/MovingDroneCrowd) - **Dataset:** [fyw1999/MovingDroneCrowd](https://huggingface.co/datasets/fyw1999/MovingDroneCrowd) ## Methods - **SDNet**: A video individual counting method that predicts shared density maps between adjacent frames via cross-frame attention. - **GD³A**: Global Density map Decomposition via group-wise Descriptor Association, providing a more interpretable and efficient video individual counting method. - **DVTrack**: A pedestrian tracking method (Descriptor Voting Track) that converts descriptor-level matching into instance-level associations. ## Usage You can download all pretrained weights using the `huggingface_hub` library: ```python from huggingface_hub import snapshot_download snapshot_download(repo_id="fyw1999/MovingDroneCrowd-Weights") ``` For detailed instructions on training and evaluation, please refer to the [official GitHub repository](https://github.com/fyw1999/MovingDroneCrowd). ## Citation If this project helps your research, please cite the following papers: ```bibtex @article{MDC++_GD3A, title={Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods}, author={Fan, Yaowu and Wan, Jia and Han, Tao and Ma, Andy J. and Ouyang, Wanli and Chan, Antoni B.}, journal={arXiv preprint arXiv:2601.12500}, year={2026} } @inproceedings{MDC_SDNet, title={Video Individual Counting for Moving Drones}, author={Fan, Yaowu and Wan, Jia Friend and Han, Tao and Chan, Antoni B. and Ma, Andy J.}, booktitle={Proceedings of the IEEE/CVF...

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