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SAGE

Official checkpoints for SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition.

KindOtherBase modelfacebook/dinov2-baseVersionRevision 2a2ea99Bgrade

Model source

Kind
Other
File size
349 MB–1.24 GB
Base model
facebook/dinov2-base
Version
vRevision 2a2ea99
Updated
Oct 10, 2026
Downloads
0
Source
Hugging Face

Source description

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

FileDescription
SAGE.pthFull SAGE checkpoint with the cross-image encoder.
SAGE_No-Encoder_Vit-B.pthSAGE checkpoint without the cross-image encoder, using DINOv2 ViT-B as the backbone.
SAGE_No-Encoder_Vit-L.pthSAGE 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.

Sources

1 source
Hugging FacePrimaryVersion 2a2ea9964cdbdfd2211e7c625064a9d5e4678245
huggingface.co/shunpeng/SAGE/tree/2a2ea9964cdbdfd2211e7c625064a9d5e4678245

Verified Oct 10

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Model artifacts

3 artifacts

SAGE_No-Encoder_Vit-B.pth

pth · 349 MB · SHA-256 8cfed7d4e8bb…a27e · Hugging Face

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SAGE_No-Encoder_Vit-L.pth

pth · 1.16 GB · SHA-256 31212d543304…86dc · Hugging Face

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SAGE.pth

pth · 1.24 GB · SHA-256 9e6d7b7cf042…0b01 · Hugging Face

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Source excerpts

3 excerpts

--- 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