ModelPublicadoExterno

SAGE

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

Fuentehuggingface.co/shunpeng/SAGE/tree/2a2ea9964cdbdfd2211e7c625064a9d5e4678245

TipoOtherModelo basefacebook/dinov2-baseVersiónRevision 2a2ea99Bcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 349 MB–1,24 GB
Modelo base: facebook/dinov2-base
Versión: vRevision 2a2ea99
Actualizado: 10 oct 2026
Descargas: 0
Fuente: Hugging Face

Descripción de la fuente

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.

Fuentes

1 fuente

Hugging FacePrincipalVersión 2a2ea9964cdbdfd2211e7c625064a9d5e4678245

huggingface.co/shunpeng/SAGE/tree/2a2ea9964cdbdfd2211e7c625064a9d5e4678245

Verificado 10 oct

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Artefactos del modelo

3 artefactos

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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Extractos de fuentes

3 extractos

Readme1 agohuggingface.co/shunpeng/SAGE

--- 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.

Note10 octhuggingface.co/shunpeng/SAGE

Source context: 0 downloads · 2 likes · Pipeline image-feature-extraction · Library pytorch · Repo shunpeng/SAGE

Note1 agohuggingface.co/shunpeng/SAGE

Source context: 0 downloads · 0 likes · Pipeline image-feature-extraction · Library pytorch · Repo shunpeng/SAGE