The rapid advancement of artificial intelligence has led to significant improvements in
automated decision-making. However the increased performance of models often comes at …

Soccer is more than just a game-it is a passion that transcends borders and unites people
worldwide. From the roar of the crowds to the excitement of the commentators, every …

Football stands as one of the most successful sports in history thanks to the plethora of
professional leagues broadcasted worldwide followed by avid fans further fueled by the …

Abstract The Video Assistant Referee (VAR) has revolutionized association football,
enabling referees to review incidents on the pitch, make informed decisions, and ensure …

Association football is a complex and dynamic sport, with numerous actions occurring
simultaneously in each game. Analyzing football videos is challenging and requires …

Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …

We present a model for temporally precise action spotting in videos, which uses a dense set
of detection anchors, predicting a detection confidence and corresponding fine-grained …

The task of spotting events in videos has gained high attention recently, as it helps in better
video understanding, and it is a key step in automating the highlights generation. In this …

In this paper, we introduce ASTRA, a Transformer-based model designed for the task of
Action Spotting in soccer matches. ASTRA addresses several challenges inherent in the …

We introduce a pretext task for self-supervised learning of feature extraction on an unlabeled
dataset of football images. The task is based on predicting the relative distance between two …