We propose Anticipative Video Transformer (AVT), an end-to-end attention-based video modeling architecture that attends to the previously observed video in order to anticipate future actions. We train the model jointly to predict the next action in a video sequence, while also learning frame feature encoders that are predictive of successive ...

2021年6月3日 · Abstract: We propose Anticipative Video Transformer (AVT), an end-to-end attention-based video modeling architecture that attends to the previously observed video in order to anticipate future actions. We train the model jointly to predict the next action in a video sequence, while also learning frame feature encoders that are predictive of ...

To train only the AVT-h on top of pre-extracted features, you can download the features from RULSTM into DATA/external/rulstm/RULSTM/data_full for EK55 and DATA/external/rulstm/RULSTM/ek100_data_full for EK100.

2021年10月13日 · AVT consists of two parts: an attention-based backbone (AVT-b) that operates on frames of video and an attention-based head architecture (AVT-h) that operates on features extracted by the backbone. Our best action anticipation came from training the full architecture end to end, but AVT-h is also compatible with standard video backbones like 3D ...

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To train only the AVT-h on top of pre-extracted features, you can download the features from RULSTM into DATA/external/rulstm/RULSTM/data_full for EK55 and DATA/external/rulstm/RULSTM/ek100_data_full for EK100.

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2021年11月30日 · 研究人员开发了预测视频转换器(AVT)，一个基于Transformer架构的视频动作预测模型，擅长理解长期依赖关系，从而更好地预测人类行为。 AVT在多个基准测试中表现出色，尤其适用于AR助手等应用场景，能提前预警潜在错误或提供下一步指导。

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