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A Multi-Channel Spatial-Temporal Transformer Model for Traffic Flow Forecasting
Traffic flow forecasting is a crucial task in transportation management and planning.
A Hybrid Model for Traffic Incident Detection based on Generative Adversarial Networks and Transformer Model
A hybrid model combining transformer and generative adversarial networks (GANs) is proposed to address these challenges.
Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
Long-term traffic prediction has always been a challenging task due to its dynamic temporal dependencies and complex spatial dependencies.
A New Method for Vehicle Logo Recognition Based on Swin Transformer
Additionally, the use of a transfer learning strategy enables our method to be on par with state-of-the-art VLR methods.
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