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rd20karim / M2T-Segmentation

Official implementation of the paper Motion2Language, Unsupervised learning of synchronized semantic motion segmentation
MIT License
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why the task is important #3

Open xiaoxiaostudy opened 1 week ago

xiaoxiaostudy commented 1 week ago

Hello, thank you for your work. I would like to ask why you think the task of synchronized subtitles is important. How can it help in action generation and action understanding?

rd20karim commented 1 week ago

Hi @xiaoxiaostudy , thanks for your interest. I already mentioned some motivations in this paper.

The synchronization task implicitly involves fine-grained action recognition and unsupervised action localization, both of which are essential for action understanding. These aspects are indirectly addressed through this novel task, which focuses on human motion segmentation and temporal phrase grounding.

You may explore similarities between the synchronization task and areas such as dense video captioning, localized narratives, and temporal sentence grounding for more context behind the introduction of this task. In another context, progressive human motion captioning could also be valuable for sign language translation.

Regarding action generation, while not straightforward, there is greater potential in motion-text retrieval, particularly in decomposing motion into atomic actions to improve generalization.