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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- mistralai/Mistral-7B-Instruct-v0.2 |
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tags: |
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- video temporal grounding |
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- dense video caption |
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- video highlight detection |
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--- |
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<h2 align="center"> <a href="https://arxiv.org/abs/2410.05643">TRACE: Temporal Grounding Video LLM via Causal Event Modeling</a></h2> |
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<h5 align="center"> If our project helps you, please give us a star ⭐ on <a href="https://github.com/gyxxyg/TRACE">GitHub</a> and cite our paper!</h2> |
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<h5 align="center"> |
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## 📰 News |
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- **[2024.10.19]** 🔥 We release [trace-retrieval](https://huggingface.co/Yongxin-Guo/trace-retrieval) by forcing the predicted timestamps to be align with the input frame timestamps. Results show trace-retrieval achieve better performance on dense video captioning tasks. |
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- **[2024.10.10]** 🔥 Our [code](https://github.com/gyxxyg/TRACE) and [paper](https://arxiv.org/abs/2410.05643) are released! |
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- **[2024.10.10]** 🔥 Our **checkpoints** are available now! |
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## Overview |
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In this work |
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- We model the videos by a series of events, and propose causal event modeling framework to capture videos' inherent structure. |
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- We present a novel task-interleaved video LLM model, TRACE, tailored to implement the causal event modeling framework through the sequential encoding/decoding of timestamps, salient scores, and textual captions. |
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## Model Zoo |
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| Checkpoints | Description | URL | |
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| ----------- | ----------- | ----------- | |
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| Initialization | Weights initialized from VideoLLaMA2 | [trace-init](https://huggingface.co/Yongxin-Guo/trace-init) | |
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| Stage-1 | Model checkpoints trained after stage-1 | [trace-stage1](https://huggingface.co/Yongxin-Guo/trace-stage1) | |
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| Stage-2 | Model checkpoints trained after stage-2 | [trace](https://huggingface.co/Yongxin-Guo/trace) | |
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| FT-Charades | Fine-tuned on Charades-STA dataset | [trace-ft-charades](https://huggingface.co/Yongxin-Guo/trace-ft-charades) | |
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| FT-Youcook2 | Fine-tuned on Youcook2 dataset | [trace-ft-youcook2](https://huggingface.co/Yongxin-Guo/trace-ft-youcook2) | |
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| FT-QVHighlights | Fine-tuned on QVHighlights dataset | [trace-ft-qvhighlights](https://huggingface.co/Yongxin-Guo/trace-ft-qvhighlights) | |
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| TRACE-retrieval | Forcing the predicted timestamps to be align with input timestamps | [trace-retrieval](https://huggingface.co/Yongxin-Guo/trace-retrieval) | |
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#### Results |
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| Youcook2 (Zero-Shot) | CIDER | METEOR | SODA_c | F1 | |
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| --- | --- | --- | --- | --- | |
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| TRACE | 8.1 | 2.8 | 2.2 | 22.4 | |
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| TRACE-retrieval | 8.3 | 2.9 | 2.3 | 24.1 | |
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| Charades-STA (Zero-Shot) | 0.3 | 0.5 | 0.7 | mIOU | |
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| --- | --- | --- | --- | --- | |
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| TRACE | 58.6 | 40.3 | 19.4 | 38.7 | |
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| TRACE-retrieval | 57.9 | 37.4 | 17.3 | 37.4 | |
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| QVHighlights (Zero-Shot) | mAP | Hit@1 | |
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| --- | --- | --- | |
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| TRACE | 26.8 | 42.7 | |
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| TRACE-retrieval | 27.9 | 44.3 | |
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| ActivityNet-DVC | CIDER | METEOR | SODA_c | F1 | |
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| --- | --- | --- | --- | --- | |
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| TRACE | 25.9 | 6.0 | 6.4 | 39.3 | |
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| TRACE-retrieval | 25.7 | 5.9 | 6.5 | 40.1 | |
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| ActivityNet-MR | 0.3 | 0.5 | 0.7 | mIOU | |
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| --- | --- | --- | --- | --- | |
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| TRACE | 54.0 | 37.7 | 24.0 | 39.0 | |
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| TRACE-retrieval | 54.4 | 39.8 | 24.9 | 40.2 | |
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