Early Fusion Graph Convolutional Network for Skeleton-Based Action Recognition

2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)（2021）

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摘要

Skeleton-based action recognition has attracted much attention in computer vision. Recently, Graph Convolutional Networks (GCNs) with multi-stream fusion strategies have obtained remarkable performance. Most of these models make decisions of action recognition by merging the prediction scores of multiple streams, while ignoring the complementary properties of different data streams for building re...

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关键词

Convolution,Fuses,Conferences,Merging,Machine learning,Predictive models,Feature extraction

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