TVLT: Textless Vision-Language Transformer
Paper
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2209.14156
•
Published
Textless Vision-Language Transformer (TLVT) model, pre-trained-only. It was introduced in the paper TVLT: Textless Vision-Language Transformer by Tang et al. and first released in this repository.
Disclaimer: The team releasing TVLT did not write a model card for this model so this model card has been written by the Hugging Face team.
TVLT is based on the MAE model, but extends it to audio-visual pre-training.
It's recommended to fine-tune the model on a task that involves audio and/or video.
For code examples, we refer to the documentation.
@misc{https://doi.org/10.48550/arxiv.2209.14156,
doi = {10.48550/ARXIV.2209.14156},
url = {https://arxiv.org/abs/2209.14156},
author = {Tang, Zineng and Cho, Jaemin and Nie, Yixin and Bansal, Mohit},
keywords = {Computer Vision and Pattern Recognition (cs.CV), Artificial Intelligence (cs.AI), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {TVLT: Textless Vision-Language Transformer},
publisher = {arXiv},
year = {2022},
copyright = {arXiv.org perpetual, non-exclusive license}
}