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Found 4 papers, 3 papers with code
Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022
Since 2021, the task also provides a stroke detection challenge from unannotated, untrimmed videos.
Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021
Sports video analysis is a prevalent research topic due to the variety of application areas, ranging from multimedia intelligent devices with user-tailored digests up to analysis of athletes' performance.
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis
The goal is to detect and classify table tennis strokes in the videos, the first step of a bigger scheme aiming at giving feedback to the players for improving their performance.
3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks
In the context of the study of sportsmen performances, a corpus of the particular actions of table tennis strokes is considered.
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