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Article overview
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Tri-axial Self-Attention for Concurrent Activity Recognition | | Yanyi Zhang
; Xinyu Li
; Kaixiang Huang
; Yehan Wang
; Shuhong Chen
; Ivan Marsic
; | | Date: |
6 Dec 2018 | | Abstract: | We present a system for concurrent activity recognition. To extract features
associated with different activities, we propose a feature-to-activity
attention that maps the extracted global features to sub-features associated
with individual activities. To model the temporal associations of individual
activities, we propose a transformer-network encoder that models independent
temporal associations for each activity. To make the concurrent activity
prediction aware of the potential associations between activities, we propose
self-attention with an association mask. Our system achieved state-of-the-art
or comparable performance on three commonly used concurrent activity detection
datasets. Our visualizations demonstrate that our system is able to locate the
important spatial-temporal features for final decision making. We also showed
that our system can be applied to general multilabel classification problems. | | Source: | arXiv, 1812.2817 | | Services: | Forum | Review | PDF | Favorites | |
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