✈️ TY-RIST: Tactical YOLO Tricks for Real-time Infrared Small Target Detection

Abdulkarim Atrash · Omar Moured · Yufan Chen · Jiaming Zhang · Seyda Ertekin . Omur Ugur

 

🎉 Our paper has been accepted to the ICCV 2025 Workshop!

🧠 About

TY-RIST enhances real-time infrared small target detection (IRSTD) with:

1. Stride-aware backbone
2. High-resolution detection head
3. Cascaded coordinate attention
4. Branch pruning

We also employ Normalized Gaussian Wasserstein Distance (NWD) for stable regression.

⚡ Performance

TY-RIST achieves state-of-the-art results on 4 benchmarks: +7.9% mAP@50 IoU, +3% Precision, +10.2% Recall, and 123 FPS on a single GPU.

🔒 Access Request

To request access to the code in this repository, please complete the form provided below.

👉 Request Access Form

📚 Citation

@misc{atrash2025tyristtacticalyolotricks,
      title={TY-RIST: Tactical YOLO Tricks for Real-time Infrared Small Target Detection}, 
      author={Abdulkarim Atrash and Omar Moured and Yufan Chen and Jiaming Zhang and Seyda Ertekin and Omur Ugur},
      year={2025},
      eprint={2509.22909},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2509.22909}, 
}