Papers › Boosting cattle face recognition under uncontrolled scenes by embedding enhancement...
Boosting cattle face recognition under uncontrolled scenes by embedding enhancement and optimization
Xingshi Xu, Hongxing Deng, Yunfei Wang, Shujin Zhang, Huaibo Song
In Precision Livestock Farming (PLF), automated monitoring and management systems offer farmers and veterinarians reliable information, alerts, and reference decision-making tools, thereby aiding in cost reduction and efficiency enhancement in livestock farming. Achieving individual cattle identification is a fundamental requirement for realizing PLF in cattle farms.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections