Multilevel Unsupervised Domain Adaptation for Single-Stage Object Detection in Remote Sensing Images

We propose a novel multilevel unsupervised domain adaptive framework for single-stage object detection in remote sensing images. Our framework combines pixel-level adaptation together with feature-level adaptation in a progressive learning scheme. Pixel-level adaptation usually suffers from the impe...

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Detalles Bibliográficos

Principais autores:	Sihao Luo, Li Ma, Xiaoquan Yang, Qian Du
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Adversarial training object detection remote sensing imagery unsupervised domain adaptation (UDA)
Acceso en liña:	https://ieeexplore.ieee.org/document/10715498/
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