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YAML Metadata Warning: The task_categories "video-retrieval" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

πŸ“™ Overview

Egolearn video features.

  1. egocentric videos are extracted by VideoMAE_L14 at 8 fps.
  2. exocentric videos are extracted by InternVideo_MM_L14 at 8 fps.

They are used for evaluating the egovideo-exovideo retrieval ability of EgoInstructor.

Each file (e.g. 2cad4224-56c4-11ee-88ee-80615f12b59e.pth.tar) is a TxD feature vector, where T refers to the length of the video and D is 768.

πŸ‹οΈ How-To-Use

Please refer to code EgoInstructor for details.

πŸŽ“ Citation

@article{xu2024retrieval,
  title={Retrieval-augmented egocentric video captioning},
  author={Xu, Jilan and Huang, Yifei and Hou, Junlin and Chen, Guo and Zhang, Yuejie and Feng, Rui and Xie, Weidi},
  journal={arXiv preprint arXiv:2401.00789},
  year={2024}
}
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