HRL-Det: Hierarchical Reinforcement Learning for Sequential Object Detection in Aerial Imagery

Object detection in unmanned aerial vehicle (UAV) imagery suffers from severe scale variation, dense object packing, and prohibitive computational cost when conventional detectors exhaustively evaluate high-resolution frames. Reinforcement learning (RL)-based sequential detectors offer a promising a...

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Detalles Bibliográficos

Autores principales:	Meng Li, Yaowen Hu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-07-01
Colección:	Sensors
Materias:	object detection unmanned aerial vehicle reinforcement learning hierarchical reinforcement learning neural ordinary differential equation Lyapunov stability
Acceso en línea:	https://www.mdpi.com/1424-8220/26/13/4232
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