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--- |
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license: llama2 |
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datasets: |
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- wangyueqian/HawkEye-IT |
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- wangyueqian/InternVid-G |
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- OpenGVLab/VideoChat2-IT |
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language: |
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- en |
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pipeline_tag: visual-question-answering |
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--- |
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# <div style="display: flex; align-items: center;"> <img src="https://github.com/yellow-binary-tree/HawkEye/blob/main/assets/hawk.png?raw=True" alt="logo" width="50" height="50" style="margin: 0 10;"> <span style="margin: 10 10;"> HawkEye: Training Video-Text LLMs for Grounding Text in Videos</span> </div> |
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This repo provides the checkpoint of HawkEye, and our implementation of VideoChat2. |
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`videochat2-stage3-our_impl.pth` is the chekepoint of our reproduce of VideoChat2. You can use it as an substitution of `hawkeye.pth`. |
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- The difference between it and HawkEye is: not trained with data from [InternVid-G](https://github.com/yellow-binary-tree/HawkEye/blob/main/internvid_g/README.md). |
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- The difference between it and the original implementation of VideoChat2 is: the visual encoder is frozen, and not trained with image data from [VideoChat2-IT](https://github.com/OpenGVLab/Ask-Anything/blob/main/video_chat2/DATA.md) |
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For more details please refer to our [paper](https://arxiv.org/abs/2403.10228) and [github](https://github.com/yellow-binary-tree/HawkEye). |
