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Found 2 papers, 2 papers with code
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling
In addition, LSTM based models display inconsistent performance across validation and test data, and pose diffculty to select models on validation data during our experiments.
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields
Such systems call for early and accurate prediction of a pedestrian's crossing/not-crossing behaviour in front of the vehicle.
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