A U-Net++ with multimodal encoders and agent attention improves World of Tanks endpoint prediction, with KL divergence loss and rendered icons giving the best relative FDE at 1.78.
Vehicle trajectory prediction using LSTMs with spatial–temporal attention mechanisms,
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A Multimodal Architecture for Endpoint Position Prediction in Team-based Multiplayer Games
A U-Net++ with multimodal encoders and agent attention improves World of Tanks endpoint prediction, with KL divergence loss and rendered icons giving the best relative FDE at 1.78.