TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications

8 July 2019

Papers citing "TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications"

5 / 5 papers shown

Title
TT3D: Table Tennis 3D Reconstruction Thomas Gossard Andreas Ziegler A. Zell 29 0 0 14 Apr 2025
Learning Wheelchair Tennis Navigation from Broadcast Videos with Domain Knowledge Transfer and Diffusion Motion Planning Zixuan Wu Z. Zaidi Adithya Patil Qingyu Xiao Matthew C. Gombolay 67 0 0 29 Sep 2024
maskGRU: Tracking Small Objects in the Presence of Large Background Motions Constantine J. Roros A. Kak 34 2 0 03 Jan 2022
EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos Dazhen Deng Jiang Wu Jiachen Wang Yihong Wu Xiao Xie Zheng Zhou Hui Zhang X. Zhang Yingcai Wu 29 37 0 13 Jan 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Vijay Badrinarayanan Ankur Handa R. Cipolla SSeg 166 792 0 27 May 2015