Back to AIBriefs
AnalysisVisual AI

BMCR: Adaptive backbone via RL for remote sensing object detection

Arxiv CS.CV (computer vision)

Proposes BMCR, a reinforcement learning-based method to adaptively compose CNN and ViT backbones for remote sensing object detection. The framework selects optimal backbone combinations per input, outperforming fixed-backbone detectors on standard benchmarks.

·
6 days ago
BMCR: Adaptive backbone via RL for remote sensing object detection — AIBriefs