most citedMO R-CNN: Multispectral Oriented R-CNN for Object Detection in Remote Sensing Image

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2025

Statistically controllable microstructure reconstruction framework for heterogeneous materials using sliced-Wasserstein metric and neural networks

Zhenchuan Ma, Qizhi Teng, Pengcheng Yan +4

Heterogeneous porous materials play a crucial role in various engineering systems. Microstructure characterization and reconstruction provide effective means for modeling these mat…

cs.CV2025★ 1 cited

MO R-CNN: Multispectral Oriented R-CNN for Object Detection in Remote Sensing Image

Leiyu Wang, Biao Jin, Feng Huang +4

Oriented object detection for multi-spectral imagery faces significant challenges due to differences both within and between modalities. Although existing methods have improved det…

cs.CV2024★ 1 cited

Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images

Wenbin Guan, Zijiu Yang, Xiaohong Wu +4

Presently, the task of few-shot object detection (FSOD) in remote sensing images (RSIs) has become a focal point of attention. Numerous few-shot detectors, particularly those based…