Browse State-of-the-Art › Sports Analytics
Sports Analytics
31 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 31 papers with code (97 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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5 Feb 2025 4 repositories listedOpenSTARLab includes the Pre-processing Package that standardizes event and tracking data through Unified and Integrated Event Data and State-Action-Reward formats, the Event Modeling Package that implements deep…
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25 Oct 2018 3 repositories listedHere we propose a highly automatic method for calibrating sports cameras from a single image using synthetic data.
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27 Feb 2025 2 repositories listedTo promote research that can take benefits of such cameras and produce more precise pitch locations, we introduce the Spiideo SoccerNet SynLoc dataset.
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8 Jun 2023 2 repositories listedWith the recent progress in sports analytics, deep learning approaches have demonstrated the effectiveness of mining insights into players' tactics for improving performance quality and fan engagement.
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28 Apr 2025 1 repository listedDue to the choice of our input data representation, physically correct synthetic training data, and using targeted augmentations, the network naturally generalizes to real data.
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14 Apr 2025 1 repository listedOur proposed datasets establish new benchmarks for 3D soccer scene understanding, enhancing both spatial and temporal analysis in sports analytics.
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25 Mar 2025 1 repository listedIn this demo, we present a method to collect and utilize simulated soccer tracking data from the Google Research Football environment to support the development of models designed for continuous tracking data.
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24 Mar 2025 1 repository listedIn this paper, we propose the TrackID3x3 dataset, the first publicly available comprehensive dataset specifically designed for multi-player tracking, player identification, and pose estimation in 3x3 basketball…
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9 Oct 2024 1 repository listedOur approach significantly increases the number of usable points for calibration by exploiting line-line and line-conic intersections, points on the conics, and other geometric features.
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11 Sep 2024 1 repository listedInverse Constrained Reinforcement Learning (ICRL) is the task of inferring the implicit constraints that expert agents adhere to, based on their demonstration data.
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21 Jun 2024 1 repository listedThis study presents significant enhancements in human pose estimation using the MediaPipe framework.
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3 Jun 2024 1 repository listedThe rapid evolution of digital sports media necessitates sophisticated information retrieval systems that can efficiently parse extensive multimodal datasets.
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12 May 2024 1 repository listedThe application of Automatic Speech Recognition (ASR) technology in soccer offers numerous opportunities for sports analytics.
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16 Apr 2024 1 repository listedHuman pose estimation faces hurdles in real-world applications due to factors like lighting changes, occlusions, and cluttered environments.
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9 Apr 2024 1 repository listedOur framework leverages both labeled and unlabelled data to robustly learn action representations in videos, combining pseudo-labeling with contrastive learning for effective learning from both types of samples.
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19 Mar 2024 1 repository listed(iii) To generate more realistic behavior, RallyNet leverages Geometric Brownian Motion (GBM) to model the interactions between players by introducing a valuable inductive bias for learning player behaviors.
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14 Nov 2023 1 repository listedWe analyze the impact of real-world factors including mud, pose, lighting, and more.
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7 Sep 2023 1 repository listedAccurately localizing objects in three dimensions (3D) is crucial for various computer vision applications, such as robotics, autonomous driving, and augmented reality.
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14 Jun 2023 1 repository listedAs artificial intelligence spreads out to numerous fields, the application of AI to sports analytics is also in the spotlight.
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8 Jun 2023 1 repository listedRecently, a great variety of techniques have been proposed and adapted for time series to provide explanation in the form of saliency maps, where the importance of each data point in the time series is quantified with a…
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4 Apr 2023 1 repository listedAccurate 3D human pose estimation is essential for sports analytics, coaching, and injury prevention.
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22 Nov 2022 1 repository listedTo address these challenges, we first introduce the procedure of the Player Movements (PM) graph to exploit the structural movements of players with strategic relations.
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1 Jul 2022 1 repository listedThis paper proposes a lightweight methodology to attract users and increase views of videos through personalized artistic media i.
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2 Jun 2022 1 repository listedFinally, we discuss the challenges and unsolved problems in this area and to facilitate sports analytics, we develop a toolbox using PaddlePaddle, which supports football, basketball, table tennis and figure skating…
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2 Apr 2022 1 repository listedPerson tracking using computer vision techniques has wide ranging applications such as autonomous driving, home security and sports analytics.
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22 Jan 2022 1 repository listedThis paper proposes a lightweight method to attract users and increase views of the video by presenting personalized artistic media -- i.
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1 Dec 2021 1 repository listedIn addition to the increased complexity resulting from the multiplication of single-task models, the use of the off-the-shelf models also impedes the performance due to the complexity and specificity of the team sports…
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28 Jul 2021 1 repository listedWe present a framework for the unsupervised learning of neurosymbolic encoders, which are encoders obtained by composing neural networks with symbolic programs from a domain-specific language.
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25 May 2021 1 repository listedIn a sequence of stages, players first learn to control a fully articulated body to perform realistic, human-like movements such as running and turning; they then acquire mid-level football skills such as dribbling and…
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4 Jun 2020 1 repository listedThis paper addresses the trade-off between Accuracy and Transparency for deep learning applied to sports analytics.
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