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Found 6 papers, 2 papers with code
AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements
The dataset, code, and models are available at: https://github. com/calvinyeungck/3D-Shot-Posture-Dataset.
Generalized Holographic Reduced Representations
In this work, we introduce the GHRR framework, prove its theoretical properties and its adherence to HDC properties, explore its kernel and binding characteristics, and perform empirical experiments showcasing its flexible non-commutativity, enhanced decoding accuracy for compositional structures, and improved memorization capacity compared to FHRR.
Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures
In this work, we introduce a new variant of the resonator network, based on self-attention based update rules in the iterative search problem.
Machine Learning for Soccer Match Result Prediction
The aim of this chapter is to give a broad overview of the current state and potential future developments in machine learning for soccer match results prediction, as a resource for those interested in conducting future studies in the area.
Foul prediction with estimated poses from soccer broadcast video
Recent advances in computer vision have made significant progress in tracking and pose estimation of sports players.
Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees
The original training set of matches and features, which was provided for the competition, was augmented with additional matches that were played between 4 April and 13 April 2023, representing the period after which the training set ended, but prior to the first matches that were to be predicted (upon which the performance was evaluated).
