Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

arXiv:2306.08206 · cs.MA, cs.AI · Submitted 2023-06-14 · Read on arXiv

cs.MA, cs.AI

Submitted: 2023-06-14

Updated: 2023-06-14

Journal ref: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

DOI: 10.1145/3580305.3599779

Code: https://github.com/metrica-sports/sample-data

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 43× in this paper · explained in 2 episodes
• Accuracy — 15× in this paper · explained in 1 episode
• Embeddings — 9× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Hierarchical Framework — 5× in this paper · explained in 2 episodes
• Loss Function — 5× in this paper · explained in 2 episodes
• Ablation study — 4× in this paper · explained in 1 episode
• Ball Trajectory Regressor — 3× in this paper
• Player Possession Classifier — 3× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Physical Constraints — 2× in this paper · explained in 7 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes
• Variational Recurrent Neural Network — 1× in this paper

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