most citedEfficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning

3 citations · 5 across the 5 of their papers we have counts for

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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…