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

AAAI 2024

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## 😮 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](https://github.com/jingw193/AdaptiveFSS/blob/main/tutorial.md) ## 🚩 **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)](https://github.com/pawn-sxy/DCAMA) * [FPTrans(NeurIPS2022)](https://github.com/Jarvis73/FPTrans) * [HDMNet(CVPR2023)](https://github.com/Pbihao/HDMNet) * [MSANet(2023)](https://github.com/AIVResearch/MSANet) Besides, this page was built using [Repaint123(2023)](https://github.com/junwuzhang19/repaint123), thanks for the author's sharing! ## ✏️ Citation If you find our paper and code useful in your research, please consider giving a star :star: and citation :pencil:. ```BibTeX @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.}, } ```