2021
Learning Precise Temporal Point Event Detection with Misaligned Labels
AAAI 2021technical
This work addresses the problem of robustly learning precise temporal point event detection despite only having access to poorly aligned labels for training. While standard (cross entropy-based) methods work well in noise-free setting, they often fail when labels are unreliable since they attempt to…