Add model card, paper link, and project links
#1
by nielsr HF Staff - opened
README.md
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
pipeline_tag: image-text-to-text
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# SPLASH-1B: Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs
|
| 6 |
+
|
| 7 |
+
This repository contains the SPLASH-1B model checkpoint presented in the paper [Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs](https://huggingface.co/papers/2607.00302).
|
| 8 |
+
|
| 9 |
+
SPLASH-1B integrates tactile perception into vision-language models by using [InternVL2.5-1B](https://huggingface.co/OpenGVLab/InternVL2_5-1B) as the base MLLM backbone and a ViT-Tiny tactile frontend.
|
| 10 |
+
|
| 11 |
+
- **Project Page:** [https://ewha-mmai.github.io/splash/](https://ewha-mmai.github.io/splash/)
|
| 12 |
+
- **Repository:** [https://github.com/ewha-mmai/splash](https://github.com/ewha-mmai/splash)
|
| 13 |
+
|
| 14 |
+
## Description
|
| 15 |
+
|
| 16 |
+
SPLASH integrates tactile perception into vision-language models through a two-stage pipeline:
|
| 17 |
+
1. **Dormant Mask Generation:** Quantifies the significance of each pretrained parameter via weight & activation importance scoring on the LLM backbone, partitioning the parameter space into a dormant and critical subspace.
|
| 18 |
+
2. **Mask-Guided Sparse Training:** Updates the isolated dormant subspace to align tactile representations while freezing the critical subspace to safeguard established vision-language reasoning, preventing catastrophic forgetting.
|
| 19 |
+
|
| 20 |
+
<p align="center">
|
| 21 |
+
<img src="https://raw.githubusercontent.com/ewha-mmai/splash/main/assets/figure.png" width="100%">
|
| 22 |
+
</p>
|
| 23 |
+
|
| 24 |
+
## Citation
|
| 25 |
+
|
| 26 |
+
If you find SPLASH useful, please cite the paper:
|
| 27 |
+
|
| 28 |
+
```bibtex
|
| 29 |
+
@inproceedings{park2026splash,
|
| 30 |
+
title={Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs},
|
| 31 |
+
author={Yoonhyung Park and Minji Kim and Sungwon Moon and Jiyoung Lee},
|
| 32 |
+
booktitle={European Conference on Computer Vision (ECCV)},
|
| 33 |
+
year={2026}
|
| 34 |
+
}
|
| 35 |
+
```
|