CVML-CFU
/

HyVol-PlusPlus

multimodal-retrieval

text-video-retrieval

text-audio-retrieval

missing-modalities

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anindyanag58 commited on 7 days ago

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Update paper title to Fuse To Align

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@@ -28,7 +28,7 @@ Ca' Foscari University of Venice
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-Pretrained weights for **Linking Modalities, Learning Across Samples: Hypergraph Fusion for Multimodal Retrieval**.
 HyVol++ turns [HyVol](https://huggingface.co/CVML-CFU/HyVol) into a general **training-time hypergraph fusion** framework.
 Observed modalities (video, audio, subtitles) are vertices, and caption-guided mutual top-k

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+Pretrained weights for **Fuse To Align: Multimodal Representation Learning for Retrieval via Hypergraph Regularization**.
 HyVol++ turns [HyVol](https://huggingface.co/CVML-CFU/HyVol) into a general **training-time hypergraph fusion** framework.
 Observed modalities (video, audio, subtitles) are vertices, and caption-guided mutual top-k