YOLO-Net: A lightweight edge-enhanced detection model for small-object recognition in tennis match scenarios.

Saved in:
Bibliographic Details
Title: YOLO-Net: A lightweight edge-enhanced detection model for small-object recognition in tennis match scenarios.
Authors: Du X; School of Physical Education and Health, Guangdong Polytechnic Normal University, Guangzhou, China., Wang T; School of Information Engineering, Huzhou University, Huzhou, China., Zu W; School of Information Engineering, Huzhou University, Huzhou, China., Dong X; School of Tourism and Public Administration, Huzhou Vocational and Technical College, Huzhou, China., Jia L; School of Information Engineering, Huzhou University, Huzhou, China.
Source: PloS one [PLoS One] 2026 Jul 14; Vol. 21 (7), pp. e0335558. Date of Electronic Publication: 2026 Jul 14 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1932-6203
DOI:10.1371/journal.pone.0335558