SETransformer combines a Transformer encoder, channel attention, and attention pooling for WISDM activity recognition, but the architecture is permutation-invariant and the reported comparison omits the model itself.
Is space-time attention all you need for video understand- ing? In ICML, volume 2, page 4, 2021
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SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition
SETransformer combines a Transformer encoder, channel attention, and attention pooling for WISDM activity recognition, but the architecture is permutation-invariant and the reported comparison omits the model itself.