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Update app.py
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app.py
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@@ -155,7 +155,7 @@ title = "End-to-End Referring Video Object Segmentation with Multimodal Transfor
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description = "This notebook provides a (limited) hands-on demonstration of MTTR. Given a text query and a short clip based on a YouTube video, we demonstrate how MTTR can be used to segment the referred object instance throughout the video. To use it, upload an .mp4 video file and enter a text query which describes one of the object instances in that video."
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article = "
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# article = "<p style='text-align: center'><a href='https://github.com/mttr2021/MTTR'>Github Repo</a></p>"
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# article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.14821'>End-to-End Referring Video Object Segmentation with Multimodal Transformers</a> | <a href='https://github.com/mttr2021/MTTR'>Github Repo</a></p>"
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description = "This notebook provides a (limited) hands-on demonstration of MTTR. Given a text query and a short clip based on a YouTube video, we demonstrate how MTTR can be used to segment the referred object instance throughout the video. To use it, upload an .mp4 video file and enter a text query which describes one of the object instances in that video."
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article = "**Disclaimer:** <br> This is a **limited** demonstration of MTTR's performance. The model used here was trained **exclusively** on Refer-YouTube-VOS with window size `w=12` (as described in our paper). No additional training data was used whatsoever. Hence, the model's performance may be limited, especially on instances from unseen categories. <br> Additionally, slow processing times may be encountered, depending on the input clip length and/or resolution, and due to HuggingFace's limited computational resources (no GPU acceleration unfortunately). <br> Finally, we emphasize that this demonstration is intended to be used for academic purposes only. We do not take any responsibility for how the created content is used or distributed. <br> <p style='text-align: center'><a href='https://github.com/mttr2021/MTTR'>Github Repo</a></p>"
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# article = "<p style='text-align: center'><a href='https://github.com/mttr2021/MTTR'>Github Repo</a></p>"
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# article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2111.14821'>End-to-End Referring Video Object Segmentation with Multimodal Transformers</a> | <a href='https://github.com/mttr2021/MTTR'>Github Repo</a></p>"
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