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AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
[article]
2021
arXiv
pre-print
Existing methods for skeleton-based action recognition mainly focus on improving the recognition accuracy, whereas the efficiency of the model is rarely considered. Recently, there are some works trying to speed up the skeleton modeling by designing light-weight modules. However, in addition to the model size, the amount of the data involved in the calculation is also an important factor for the running speed, especially for the skeleton data where most of the joints are redundant or
arXiv:2103.11770v1
fatcat:wfjdq2rlhfbvffeomsccbqpimy