metadata

library_name: transformers
license: mit
datasets:
  - detection-datasets/coco
pipeline_tag: object-detection

Model Card for DiffusionDet

DiffusionDet is a diffusion-based object detection model that formulates object detection as a denoising diffusion process. It iteratively refines noisy box predictions to generate high-quality detection outputs. This approach provides a flexible and unified framework for object detection, offering advantages over traditional proposal-based methods.

🔧 Uses

You can load and use the model with Hugging Face's 🤗 transformers or via the original repository.

📦 Original GitHub repo
🚀 Few-shot cross-domain adaptation repo

This model has been adapted for cross-domain few-shot object detection using LoRA (Low-Rank Adaptation). 📄 Check out the paper: LoRA for Cross-Domain Few-Shot Object Detection