Pig Face Open Set Recognition and Registration Using a Decoupled Detection System and Dual-Loss Vision Transformer.

ABSTRACT: Effective pig farming relies on precise and adaptable animal identification methods, particularly in dynamic environments where new pigs are regularly added to the herd. However, pig face recognition is challenging due to high individual similarity, lighting variations, and occlusions. These factors hinder accurate identification and monitoring. To address these issues under Open-Set conditions, we propose a three-phase Pig Face Open-Set Recognition (PFOSR) system. In the Training Phase, we adopt a decoupled design, first training a YOLOv8-based pig face detection model on a small labeled dataset to automatically locate pig faces in raw images. We then refine a Vision Transformer (ViT) recognition model via a dual-loss strategy-combining Sub-center ArcFace and Center Loss-to enhance both i

SUBMITTER: Ma R 

PROVIDER: S-EPMC11898941 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature