All Outputs (2)

IYOLO-FAM: Improved YOLOv8 with feature attention mechanism for cow behaviour detection (2024)
Presentation / Conference Contribution

We introduced IYOLO-FAM (Improved YOLOv8 with Feature Attention Mechanism) for detecting cow behaviours. By leveraging the robust YOLOv8 architecture improved with Feature Attention Mechanisms (FAM), Squeeze-and-Excitation (SE) blocks and data augmen... Read More about IYOLO-FAM: Improved YOLOv8 with feature attention mechanism for cow behaviour detection.

Real-time livestock activity monitoring via fine-tuned faster R-CNN for multiclass cattle behaviour detection (2023)
Presentation / Conference Contribution

Automated cattle activity detection plays a pivotal role in modern livestock management, significantly impacting animal welfare and operational efficiency. This paper introduces an automated approach for cattle activity detection using advanced deep... Read More about Real-time livestock activity monitoring via fine-tuned faster R-CNN for multiclass cattle behaviour detection.