Boundary-sensitive Pre-training for Temporal Localization in Videos

Understand

Many video analysis tasks require temporal localization thus detection of content changes.

• However, most existing models developed for these tasks are pre-trained on general video action classification tasks.
• This is because large scale annotation of temporal boundaries in untrimmed videos is expensive.
• Therefore no suitable datasets exist for temporal boundary-sensitive pre-training.