SOTAVerified

Sports Analytics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–97 of 97 papers

TitleStatusHype
Improving Object Detection Quality in Football Through Super-Resolution Techniques—0
Transformer Network for Multi-Person Tracking and Re-Identification in Unconstrained Environment—0
MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme ConditionsCode0
A Hybrid Graph Network for Complex Activity Detection in Video—0
SoccerKDNet: A Knowledge Distillation Framework for Action Recognition in Soccer Videos—0
Bayesian taut splines for estimating the number of modes—0
Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions—0
Robust Explainer Recommendation for Time Series ClassificationCode0
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical AnalysisCode0
Boldness-Recalibration for Binary Event Predictions—0
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey—0
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution—0
Presenting Multiagent Challenges in Team Sports Analytics—0
CLIP-ReIdent: Contrastive Training for Player Re-Identification—0
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations—0
Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in BadmintonCode0
A Survey on the application of Data Science And Analytics in the field of Organised Sports—0
Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS)—0
Towards Automated Key-Point Detection in Images with Partial Pool View—0
Bump hunting through density curvature features—0
Graph Neural Networks to Predict Sports Outcomes—0
Client-driven Lightweight Method to Generate Artistic Media for Feature-length Sports VideosCode0
Predicting Team Performance with Spatial Temporal Graph Convolutional Networks—0
A Multi-stage deep architecture for summary generation of soccer videos—0
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task LearningCode0
LTC-GIF: Attracting More Clicks on Feature-length Sports VideosCode0
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports ScenesCode0
Ice hockey player identification via transformers and weakly supervised learning—0
Coach2vec: autoencoding the playing style of soccer coaches—0
From Motor Control to Team Play in Simulated Humanoid FootballCode0
Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation—0
Learning Agent Representations for Ice Hockey—0
A compact sequence encoding scheme for online human activity recognition in HRI applications—0
Analysing Long Short Term Memory Models for Cricket Match Outcome Prediction—0
Valuing Player Actions in Counter-Strike: Global Offensive—0
Cracking the Black Box: Distilling Deep Sports AnalyticsCode0
Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics—0
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players—0
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos—0
Random forest model identifies serve strength as a key predictor of tennis match outcome—0
PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
Sports Camera Calibration via Synthetic DataCode0
On-field player workload exposure and knee injury risk monitoring via deep learning—0
tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball Data—0
Learning Populations of Parameters—0
Applying Deep Learning to Basketball TrajectoriesCode0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.