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PRISM-VFM
robotyingtang/PRISM-VFM
PRISM-VFM is a machine learning model from robotyingtang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository hosts model-only checkpoints for PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization.
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Public
Updated Jul 6, 2026
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12.4 GB
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.pth12.4 GB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Jul 3, 2026
- Updated
- Jul 6, 2026
- SHA
- 6b57bf99
Datasets
Model card
From the Hugging Face model README
PRISM Checkpoints
This repository hosts model-only checkpoints for PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization.
Paper: https://arxiv.org/abs/2606.03444
Code: https://github.com/robotyingtang/PRISM-VFM
Files
checkpoints/
prism_stage1_vit_b.pth
prism_stage1_vit_l.pth
prism_stage2_pascal_vit_b.pth
prism_stage2_pascal_vit_l.pth
prism_stage2_nyud_vit_b.pth
configs/
prism_stage1_vit_b.yml
prism_stage1_vit_l.yml
prism_stage2_pascal_vit_b.yml
prism_stage2_pascal_vit_l.yml
prism_stage2_nyud_vit_b.yml
Usage
hf download robotyingtang/PRISM-VFM checkpoints/prism_stage2_pascal_vit_b.pth --local-dir pretrain/prism
python test_condition_moe.py \
--exp prism_s2_pascal \
--config_path configs/s2_prism/pascal_s2.yml \
--checkpoint pretrain/prism/checkpoints/prism_stage2_pascal_vit_b.pth \
--results_dir results \
--evaluate
Citation
@inproceedings{tang2026prism,
title={PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization},
author={Ying Tang and Dong Li and Youjia Zhang and Zikai Song and Junqing Yu and Wei Yang},
booktitle={Proceedings of the 43rd International Conference on Machine Learning},
year={2026}
}
- License
- mit
- Created
- Jul 3, 2026
- Updated
- Jul 6, 2026