SoccerNet-Depth: a scalable dataset for monocular depth estimation in sports videos
Abstract Monocular Depth Estimation (MDE) is fundamental in sports video understanding
enhancing augmented graphics scene understanding and game state reconstruction …
enhancing augmented graphics scene understanding and game state reconstruction …
Beyond the Premier: Assessing action spotting transfer capability across diverse domains
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 …
professional leagues broadcasted worldwide followed by avid fans further fueled by the …
X-vars: Introducing explainability in football refereeing with multi-modal large language models
The rapid advancement of artificial intelligence has led to significant improvements in
automated decision-making. However the increased performance of models often comes at …
automated decision-making. However the increased performance of models often comes at …
SoccerNet-caption: Dense video captioning for soccer broadcasts commentaries
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 …
worldwide. From the roar of the crowds to the excitement of the commentators, every …
VARS: Video assistant referee system for automated soccer decision making from multiple views
Abstract The Video Assistant Referee (VAR) has revolutionized association football,
enabling referees to review incidents on the pitch, make informed decisions, and ensure …
enabling referees to review incidents on the pitch, make informed decisions, and ensure …
Towards active learning for action spotting in association football videos
Association football is a complex and dynamic sport, with numerous actions occurring
simultaneously in each game. Analyzing football videos is challenging and requires …
simultaneously in each game. Analyzing football videos is challenging and requires …
A survey of deep learning in sports applications: Perception, comprehension, and decision
Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …
ranging from perception and comprehension to decision. This paper presents a …
[HTML][HTML] Individual locating of soccer players from a single moving view
Positional data in team sports is key in evaluating the players' individual and collective
performances. When the sole source of data is a broadcast-like video of the game, an …
performances. When the sole source of data is a broadcast-like video of the game, an …
Iterative scale-up expansioniou and deep features association for multi-object tracking in sports
Deep learning-based object detectors have driven notable progress in multi-object tracking
algorithms. Yet, current tracking methods mainly focus on simple, regular motion patterns in …
algorithms. Yet, current tracking methods mainly focus on simple, regular motion patterns in …
Observation centric and central distance recovery for athlete tracking
Abstract Multi-Object Tracking on humans has improved rapidly with the development of
object detection and re-identification algorithms. However, multi-actor tracking over humans …
object detection and re-identification algorithms. However, multi-actor tracking over humans …