50 datasets found

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  • VideoStreaming

    A novel approach to tackle the complexities of long video understanding with large language models (LLMs). Our proposed memory-propagated streaming encoding architecture...

  • Kinetics-400, UCF101, HMDB51, Something-Something V1, and Something-Something V2

    The Kinetics-400, UCF101, HMDB51, Something-Something V1, and Something-Something V2 datasets are used for evaluating the performance of the Bi-Calibration Networks.

  • HMDB-51

    Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming....

  • Kinetics-400

    Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming....

  • MSVD

    Text-Video Retrieval (TVR) aims to align relevant video content with natural language queries. To date, most state-of-the-art TVR methods learn image-to-video transfer learning...

  • MSR-VTT

    The dataset used in the paper is MSR-VTT, a large video description dataset for bridging video and language. The dataset contains 10k video clips with length varying from 10 to...

  • TextVid

    The TextVid dataset is a textual video dataset automatically generated by advanced LLMs.

  • TOPA: Extend Large Language Models for Video Understanding via Text-Only Pre-...

    TOPA is a text-only pre-alignment framework for extending large language models for video understanding without the need for pre-training on real video data.

  • UCF101

    The UCF101 dataset contains 13320 videos distributed in 101 action categories. This dataset is different from the above ones in that it contains mostly coarse sports activities...

  • Kinetics-400, Something-Something-V2, and Epic-Kitchens-100

    The authors used the Kinetics-400, Something-Something-V2, and Epic-Kitchens-100 datasets for video understanding tasks.