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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Dtradke/grf_tracking_data
공식 코드Simulating Tracking Data to Advance Sports Analytics Research
https://github.com/KieDani/SpinAndTrajectoryTableTennis
공식 코드https://github.com/NikolasEnt/soccernet-calibration-sportlight
공식 코드Enhancing Soccer Camera Calibration Through Keypoint Exploitation
https://github.com/RobRomijnders/RNN_basketball
공식 코드https://github.com/SoccerNet/sn-echoes
공식 코드https://github.com/avhixd/human_pose_estimation
공식 코드Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipe
https://github.com/avinres/lwirpose
공식 코드https://github.com/deepmind/dm_control
공식 코드From Motor Control to Team Play in Simulated Humanoid Football
https://github.com/ezhan94/neurosymbolic-encoders
공식 코드https://github.com/gabriel-vanzandycke/deepsport
공식 코드Context-Aware 3D Object Localization from Single Calibrated Images: A Study of Basketballs
https://github.com/iamgmujtaba/ltc-gif
공식 코드LTC-GIF: Attracting More Clicks on Feature-length Sports Videos
https://github.com/ispgroupucl/deepsportlab
공식 코드https://github.com/jacobtyo/mudd
공식 코드https://github.com/jasonxu1225/awesome-constraint-inference-in-rl
공식 코드https://github.com/mguti97/soccernet-v3d
공식 코드SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding
https://github.com/mlgig/amee
공식 코드Robust Explainer Recommendation for Time Series Classification
https://github.com/nilakshdas/skelevision
공식 코드SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
https://github.com/open-starlab/event
공식 코드OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
https://github.com/open-starlab/event_data_labeltool
공식 코드OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
https://github.com/open-starlab/preprocessing
공식 코드OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
https://github.com/open-starlab/rlearn
공식 코드OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
https://github.com/open-starlab/trackid3x3
공식 코드https://github.com/paddlepaddle/paddlevideo
공식 코드A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
https://github.com/pientist/ballradar
공식 코드https://github.com/rana2149/actnetformer
공식 코드ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
https://github.com/simula/soccer-rag
공식 코드SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries
https://github.com/wywywang/coachai-projects
공식 코드https://github.com/xiangyu-sun-789/Cracking-the-Black-Box-Distilling-Deep-Sports-Analytics
공식 코드https://github.com/andychiangsh/badge
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis
https://github.com/ashura1234/soccer-line-detection
https://github.com/lood339/SCCvSD
https://github.com/xecarlox94/Computational-Imaging
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.