SAGE
Official checkpoints for SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 349 MB–1,24 GB
- Modelo base
- facebook/dinov2-base
- Versão
- vRevision 2a2ea99
- Atualizado
- 10 de out. de 2026
- Downloads
- 0
- Fonte
- Hugging Face
Descrição da fonte
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
Acknowledgements
This interactive demo was originally created by @apolinario and the Hugging Face team.
We sincerely appreciate their support in making SAGE more accessible to the community.
Fontes
1 fonte
Fontes
1 fonteVerificado 10 de out.
Download files
Artefatos de modelo
3 artefatos
Artefatos de modelo
3 artefatosTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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.
Source context: 0 downloads · 2 likes · Pipeline image-feature-extraction · Library pytorch · Repo shunpeng/SAGE
Source context: 0 downloads · 0 likes · Pipeline image-feature-extraction · Library pytorch · Repo shunpeng/SAGE
