3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 3 cited
Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning
Agustín Roca, Gabriel Torre, Juan I. Giribet +4
This paper examines the use of Unmanned Aerial Vehicles (UAVs) and deep learning for detecting endangered deer species in their natural habitats. As traditional identification proc…
cs.CV2025★ 2 cited
Detection of Endangered Deer Species Using UAV Imagery: A Comparative Study Between Efficient Deep Learning Approaches
Agustín Roca, Gastón Castro, Gabriel Torre +4
This study compares the performance of state-of-the-art neural networks including variants of the YOLOv11 and RT-DETR models for detecting marsh deer in UAV imagery, in scenarios w…