A Comparative Analysis between Efficient Attention Mechanisms for Traffic Forecasting without Structural Priors
Dot-product attention is a powerful mechanism for capturing contextual information. Models that build on top of it have acclaimed state-of-the-art performance in various domains, ranging from sequence modelling to visual tasks. However, the main bottleneck is the construction of the attention map, w...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/19/7457 |