{"ID":2838495,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.17045","arxiv_id":"2511.17045","title":"RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis","abstract":"We introduce RacketVision, a novel dataset and benchmark for advancing computer vision in sports analytics, covering table tennis, tennis, and badminton. The dataset is the first to provide large-scale, fine-grained annotations for racket pose alongside traditional ball positions, enabling research into complex human-object interactions. It is designed to tackle three interconnected tasks: fine-grained ball tracking, articulated racket pose estimation, and predictive ball trajectory forecasting. Our evaluation of established baselines reveals a critical insight for multi-modal fusion: while naively concatenating racket pose features degrades performance, a CrossAttention mechanism is essential to unlock their value, leading to trajectory prediction results that surpass strong unimodal baselines. RacketVision provides a versatile resource and a strong starting point for future research in dynamic object tracking, conditional motion forecasting, and multimodal analysis in sports. Project page at https://github.com/OrcustD/RacketVision","short_abstract":"We introduce RacketVision, a novel dataset and benchmark for advancing computer vision in sports analytics, covering table tennis, tennis, and badminton. The dataset is the first to provide large-scale, fine-grained annotations for racket pose alongside traditional ball positions, enabling research into complex human-o...","url_abs":"https://arxiv.org/abs/2511.17045","url_pdf":"https://arxiv.org/pdf/2511.17045v3","authors":"[\"Linfeng Dong\",\"Yuchen Yang\",\"Hao Wu\",\"Wei Wang\",\"Yuenan Hou\",\"Zhihang Zhong\",\"Xiao Sun\"]","published":"2025-11-21T08:44:33Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.AI\",\"cs.MM\"]","methods":"[]","has_code":false,"code_links":[{"ID":606780,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2838495,"paper_url":"https://arxiv.org/abs/2511.17045","paper_title":"RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis","repo_url":"https://github.com/OrcustD/RacketVision","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}