An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition. (arXiv:2210.04933v1 [cs.CV])

Precisely naming the action depicted in a video can be a challenging and
oftentimes ambiguous task. In contrast to object instances represented as nouns
(e.g. dog, cat, chair, etc.), in the case of actions, human annotators
typically lack a consensus as to what constitutes a specific action (e.g.
jogging versus running). In practice, a given video can contain multiple valid
positive annotations for the same action. As a result, video datasets often
contain significant levels of label noise and overlap …

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