{"id":29984284,"url":"https://github.com/humansensinglab/agenda","last_synced_at":"2026-05-18T09:32:17.814Z","repository":{"id":305042840,"uuid":"991511979","full_name":"humansensinglab/AGenDA","owner":"humansensinglab","description":"[ICCV 2025] Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak 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AGenDA\nThis is the official code for our ICCV 2025 paper:\n\u003e [Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision](https://humansensinglab.github.io/AGenDA/)  \n\u003e Xiao Fang, Minhyek Jeon, Zheyang Qin, Stanislav Panev, Celso M de Melo, Shuowen Hu, Shayok Chakraborty, Fernando De la Torre\n\n## Requirement\n```\n# Create virtual environment\nconda create -n agenda python=3.9\n\n# Install torch\nconda install pytorch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 pytorch-cuda=12.1 -c pytorch -c nvidia\n\n# Install dependencies\npip install -r requirements.txt\n\n# Install mmengine and mmcv\nmim install mmengine\nmim install \"mmcv\u003e=2.0.0\"\n\n# Install mmdetection\ngit clone https://github.com/open-mmlab/mmdetection.git\ncd mmdetection\npip install -v -e .\n\n# Install mmyolo\ngit clone https://github.com/open-mmlab/mmyolo.git\ncd mmyolo\npip install -v -e .\n```\n\n## Data preparation\nPlease follow the instruction [here](Data/README.md).\n\n## Usage\n### Stage 1: Data generation\nPlease follow the instruction [here](data_generation/README.md).\n\n### Stage 2: Data annotation\nPlease follow the instruction [here](data_annotation/README.md).  \n\nWe upload all checkpoints [here](https://huggingface.co/collections/xiaofanghf/agenda-68a1f2b4f46e657d68ae0875). For more usage details, please go through each stage.\n\n## Citation\nPlease cite the paper if you use the code and datasets.\n```\n@InProceedings{adapting,\n    author    = {Fang, Xiao and Jeon, Minhyek and Qin, Zheyang and Panev, Stanislav and De Melo, Celso and Hu, Shuowen and Chakraborty, Shayok and De La Torre, Fernando},\n    title     = {{Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision}},\n    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n    month     = {October},\n    year      = {2025},\n    pages     = {8088-8099}\n}\n```\n\n## Acknowledgement\nThe code is built on [diffusers](https://github.com/huggingface/diffusers/tree/main/examples), [DAAM](https://github.com/castorini/daam), and [AttnDreamBooth](https://github.com/lyuPang/AttnDreamBooth), thanks for their amazing work!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhumansensinglab%2Fagenda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhumansensinglab%2Fagenda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhumansensinglab%2Fagenda/lists"}