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Richard1999/Event-Bench

Towards Event-oriented Long Video Understanding [๐Ÿ“– arXiv Paper] ๐Ÿ‘€ Overview We introduce Event-Bench, an event-oriented long video understanding benchmark built on existing datasets and human annotations. Event-Bench consists of three event understanding abilities and six event-related tasks, including 2,190 test instances to comprehensively evaluate the ability to understand video events. Event-Bench provides a systematic comparison across differentโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/Richard1999/Event-Bench.

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Towards Event-oriented Long Video Understanding

<font size=3><div align='center'> [[๐Ÿ“– arXiv Paper]()]</div>


๐Ÿ‘€ Overview

We introduce Event-Bench, an event-oriented long video understanding benchmark built on existing datasets and human annotations. Event-Bench consists of three event understanding abilities and six event-related tasks, including 2,190 test instances to comprehensively evaluate the ability to understand video events. <p align="center"> <img src="./asset/fig_benchmark.jpg" width="100%" height="100%"> </p>

Event-Bench provides a systematic comparison across different kinds of capabilities for existing video MLLMs, and points out the major shortcomings of open-source MLLMs.

๐Ÿ” Dataset

Download the raw videos in VNBench from the google drive link.

License:

Event-Bench is only used for academic research. Commercial use in any form is prohibited.

๐Ÿ”ฎ Evaluation Pipeline

Please refer to https://github.com/RUCAIBox/Event-Bench

๐Ÿ“ˆ Experimental Results

  • โ€”Evaluation results of different Video MLLMs.

<p align="center"> <img src="./asset/performance.png" width="96%" height="50%"> </p>

Citation

If you find our work helpful for your research, please consider citing our work.

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