Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement

AAAI 2024

If you like our project, please give us a star ⭐ on GitHub for latest update.

😮 Highlights

• This is the official code of Adaptive FSS, which has been accepted by AAAI 2024.
• It presents a novel FSS framework based on the adapter mechanism that can greatly improve the performance of the current FSS model by adapting it to novel classes.
• Tutorials for training and pre-training weight configuration are placed at Tutorials

🚩 Updates

Welcome to watch 👀 this repository for the latest updates.

✅ [2023.12.25] : Released project page.

✅ [2023.12.26] : We have released our paper on Arxiv.

✅ [2024.1.7] : Released code.

• Video release.

🚀 Experimental Results

Quantitative Comparison

Qualitative Comparison

👍 Acknowledgement

This work is built on many amazing research works and open-source projects, thanks a lot to all the authors for sharing!

• DCAMA(ECCV2022)
• FPTrans(NeurIPS2022)
• HDMNet(CVPR2023)
• MSANet(2023)

Besides, this page was built using Repaint123(2023), thanks for the author's sharing!

✏️ Citation

If you find our paper and code useful in your research, please consider giving a star ⭐ and citation 📝.

@article{Wang_Li_Chen_Zhang_Shen_Zhang_2024,
      title={Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement}, 
      author={Wang Jing and Li Jinagyun and Chen Chen and Zhang Yisi and Shen Haoran and Zhang Tianxiang},
      year={2024},
      journal={Proceedings of the AAAI Conference on Artificial Intelligence},
      month={Feb.}, 
}