| --- |
| license: mit |
| tags: |
| - visual-place-recognition |
| - image-retrieval |
| - image-feature-extraction |
| - pytorch |
| - dinov2 |
| pipeline_tag: image-feature-extraction |
| library_name: pytorch |
| language: |
| - en |
| metrics: |
| - recall |
| base_model: |
| - facebook/dinov2-base |
| --- |
| |
| # SAGE-VPR |
| Official checkpoints for **SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition**. |
|
|
| Paper: https://arxiv.org/abs/2509.25723 |
| GitHub: https://github.com/chenshunpeng/SAGE |
| Project Page: https://chenshunpeng.github.io/projects/SAGE |
| Demo: https://huggingface.co/spaces/shunpeng/sage-visual-place-recognition |
|
|
| ## Checkpoints |
| | File | Description | |
| | --- | --- | |
| | `SAGE.pth` | Full SAGE checkpoint with the cross-image encoder. | |
| | `SAGE_No-Encoder_Vit-B.pth` | SAGE checkpoint without the cross-image encoder, using DINOv2 ViT-B as the backbone. | |
| | `SAGE_No-Encoder_Vit-L.pth` | SAGE checkpoint without the cross-image encoder, using DINOv2 ViT-L as the backbone. | |
|
|
| ## Online Demo |
|
|
| An interactive demo is available on Hugging Face Spaces: |
|
|
| [Try the SAGE Visual Place Recognition Demo](https://huggingface.co/spaces/shunpeng/sage-visual-place-recognition) |
|
|
| ## Acknowledgements |
|
|
| This interactive demo was originally created by |
| [@apolinario](https://github.com/apolinario) and the |
| [Hugging Face](https://huggingface.co/) team. |
|
|
| We sincerely appreciate their support in making SAGE more accessible to the community. |
