Multi-Scale Reinforcement Disentangled Representation for Unsupervised Domain Adaptation Remote Sensing Detection

Unsupervised domain adaptation for object detection in remote sensing images is currently a research hotspot. The significant distribution differences between the source and target domain are the core problem of unsupervised domain adaptation for object detection. Remote sensing images are characterized by large variations in scale, complex backgrounds, and numerous small objects, which pose great difficulties to remote sensing object detection. To address these issues, we propose multi-scale re