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Found 6 papers, 0 papers with code
Multi Player Tracking in Ice Hockey with Homographic Projections
Multi Object Tracking (MOT) in ice hockey pursues the combined task of localizing and associating players across a given sequence to maintain their identities.
Evaluating deep tracking models for player tracking in broadcast ice hockey video
Tracking and identifying players is an important problem in computer vision based ice hockey analytics.
Causal Discovery from Sparse Time-Series Data Using Echo State Network
Causal discovery between collections of time-series data can help diagnose causes of symptoms and hopefully prevent faults before they occur.
Ice hockey player identification via transformers and weakly supervised learning
Obtaining player identities is essential for analyzing the game and is used in downstream tasks such as game event recognition.
Optical Character Recognition
Optical Character Recognition (OCR)
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PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
Analysis of retinal fundus images is essential for eye-care physicians in the diagnosis, care and treatment of patients.
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images
A novel statistical textural distinctiveness approach for robustly detecting salient regions in natural images is proposed.
