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- W2913302158 abstract "We hosted the 2nd YouTube-8M Large-Scale Video Understanding Kaggle Challenge and Workshop at ECCV’18, with the task of classifying videos from frame-level and video-level audio-visual features. In this year’s challenge, we restricted the final model size to 1 GB or less, encouraging participants to explore representation learning or better architecture, instead of heavy ensembles of multiple models. In this paper, we briefly introduce the YouTube-8M dataset and challenge task, followed by participants statistics and result analysis. We summarize proposed ideas by participants, including architectures, temporal aggregation methods, ensembling and distillation, data augmentation, and more." @default.
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- W2913302158 date "2019-01-01" @default.
- W2913302158 modified "2023-10-14" @default.
- W2913302158 title "The 2nd YouTube-8M Large-Scale Video Understanding Challenge" @default.
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- W2913302158 doi "https://doi.org/10.1007/978-3-030-11018-5_18" @default.
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