Ice hockey player identification via transformers and weakly supervised learning. (arXiv:2111.11535v2 [cs.CV] UPDATED)

Identifying players in video is a foundational step in computer vision-based
sports analytics. Obtaining player identities is essential for analyzing the
game and is used in downstream tasks such as game event recognition.
Transformers are the existing standard in Natural Language Processing (NLP) and
are swiftly gaining traction in computer vision. Motivated by the increasing
success of transformers in computer vision, in this paper, we introduce a
transformer network for recognizing players through their jersey numbers in
broadcast National Hockey …

arxiv cv ice identification learning supervised learning transformers