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- ---
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- license: cc-by-nc-sa-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ ---
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+
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+ # SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning (ICLR 2024)
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+
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+
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+ <p align="center">
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+ <a href="https://arxiv.org/abs/2403.13684"><img src="https://img.shields.io/badge/arXiv-2403.13684-b31b1b"></a> <a href="https://visual-ai.github.io/sptnet/"><img src="https://img.shields.io/badge/Project-Website-blue"></a><a href="#jump"><img src="https://img.shields.io/badge/Citation-8A2BE2"></a>
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+ </p>
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+ <p align="center">
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+ SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning <br>
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+ By
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+ <a href="https://whj363636.github.io/">Hongjun Wang</a>,
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+ <a href="https://sgvaze.github.io/">Sagar Vaze</a>, and
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+ <a href="https://www.kaihan.org/">Kai Han</a>.
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+ </p>
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+
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+
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+ [05.2024] We update the results of SPTNet with DINOv2 on CUB, please check our latest version in [Arxiv](https://arxiv.org/abs/2403.13684)
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+
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+ | | All | Old | New |
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+ |---------------|------|------|------|
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+ | CUB (DINO) | 65.8 | 68.8 | 65.1 |
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+ | CUB (DINOv2) | 76.3 | 79.5 | 74.6 |
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+
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+
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+
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+ ## Results
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+ Generic results:
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+ | | All | Old | New |
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+ |--------------|------|------|------|
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+ | CIFAR-10 | 97.3 | 95.0 | 98.6 |
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+ | CIFAR-100 | 81.3 | 84.3 | 75.6 |
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+ | ImageNet-100 | 85.4 | 93.2 | 81.4 |
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+
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+ Fine-grained results:
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+ | | All | Old | New |
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+ |---------------|------|------|------|
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+ | CUB | 65.8 | 68.8 | 65.1 |
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+ | Stanford Cars | 59.0 | 79.2 | 49.3 |
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+ | FGVC-Aircraft | 59.3 | 61.8 | 58.1 |
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+ | Herbarium19 | 43.4 | 58.7 | 35.2 |
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+
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+
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+
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+ ## Citing this work
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+ <span id="jump"></span>
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+ If you find this repo useful for your research, please consider citing our paper:
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+
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+ ```
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+ @inproceedings{wang2024sptnet,
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+ author = {Wang, Hongjun and Vaze, Sagar and Han, Kai},
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+ title = {SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning},
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+ booktitle = {International Conference on Learning Representations (ICLR)},
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+ year = {2024}
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+ }
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+ ```