What Do I Annotate Next? An Empirical Study of Active Learning for Action Localization

ECCV, pp. 212-229, 2018.

Cited by: 24|Views33
EI
Weibo:
We introduced a novel active learning framework for temporal action localization

Abstract:

Despite tremendous progress achieved in temporal action localization, state-of-the-art methods still struggle to train accurate models when annotated data is scarce. In this paper, we introduce a novel active learning framework for temporal localization that aims to mitigate this data dependency issue. We equip our framework with active s...More

Code:

Data:

0
Your rating :
0

 

Tags
Comments