SoccerNet 2022 Challenges Results
원문 초록
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long untrimmed videos, (2) replay grounding, focusing on retrieving the live moment of an action shown in a replay, (3) pitch localization, focusing on detecting line and goal part elements, (4) camera calibration, dedicated to retrieving the intrinsic and extrinsic camera parameters, (5) player re-identification, focusing on retrieving the same players across multiple views, and (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams. Compared to last year's challenges, tasks (1-2) had their evaluation metrics redefined to consider tighter temporal accuracies, and tasks (3-6) were novel, including their underlying data and annotations. More information on the tasks, challenges and leaderboards are available on https://www.soccer-net.org. Baselines and development kits are available on https://github.com/SoccerNet.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection
History-Aware Transformation of ReID Features for Multiple Object Tracking
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity
GTA: Global Tracklet Association for Multi-Object Tracking in Sports
토론
이 논문과 연결된 포럼 글이 아직 없습니다.