Retrieval-Augmented Egocentric Video Captioning
Paper
•
2401.00789
•
Published
Datasets:
Tasks:
Video Classification
Modalities:
Text
Formats:
webdataset
Languages:
English
Size:
< 1K
ArXiv:
License:
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End of preview. Expand
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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, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, 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-ranking, 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, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
📙 Overview
Egolearn video features.
- egocentric videos are extracted by VideoMAE_L14 at 8 fps.
- 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.
🏋️ How-To-Use
Please refer to code EgoInstructor for details.
🎓 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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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
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