Add model card

README.md

@@ -0,0 +1,42 @@
+---
+license: cc-by-4.0
+tags:
+- multimodal-retrieval
+- text-video-retrieval
+- audio-visual
+- hypergraph
+---
+
+# HyVol: Hypergraph-Regularized Gramian Volumes for Multimodal Retrieval
+
+Pretrained weights for the WACV 2027 paper
+**Hypergraph-Regularized Gramian Volumes for Multimodal Retrieval**
+by Anindya Nag, Ambuj Mehrish and Sebastiano Vascon.
+
+Paper: [arXiv:2609.15320](https://arxiv.org/abs/2609.15320)
+
+HyVol is a training-only module for volume-based multimodal retrieval. A hypergraph
+adds semantic relations between training samples before the volume loss is computed.
+The hypergraph is removed after training, so the backbone, scoring function and
+retrieval cost are unchanged.
+
+## Checkpoints
+
+| File | Backbone |
+|---|---|
+| `GRAM_HYVOL/HyVol_GRAM.pt` | GRAM + HyVol |
+| `HyperGRAM_HYVOL/HyVol_HyperGRAM.pt` | Hyperbolic GRAM + HyVol |
+
+Both models are trained on a 150K-clip subset of VAST-27M and evaluated zero-shot.
+Load each checkpoint with the codebase of its backbone (GRAM or Hyperbolic GRAM).
+
+## Citation
+
+```bibtex
+@inproceedings{nag2027hyvol,
+  title     = {Hypergraph-Regularized Gramian Volumes for Multimodal Retrieval},
+  author    = {Nag, Anindya and Mehrish, Ambuj and Vascon, Sebastiano},
+  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
+  year      = {2027}
+}
+```