Based on this cognition, this paper draws on the idea of neural network processing multi-source data to proposes a temporal-attribute attention neural network (TAA-NN for short) model to study the raw mixed frequency data. The new method avoids the problems caused by frequency alignments, such...
To solve this problem, a novel multi-task model based on the conventional neural network and temporal attention strategy is proposed. Since publicly available dataset is rare, two new large-scale video datasets with expanded attribute definition are presented, on which the effectiveness of both ...
To solve this problem, a novel multi-task model based on the conventional neural network and temporal attention strategy is proposed. Since publicly available dataset is rare, two new large-scale video datasets with expanded attribute definition are presented, on which the effectiveness of both ...