SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery. (arXiv:2209.13351v1 [cs.CV])

In this paper, we propose an accurate yet fast small object detection method
for RSI, named SuperYOLO, which fuses multimodal data and performs high
resolution (HR) object detection on multiscale objects by utilizing the
assisted super resolution (SR) learning and considering both the detection
accuracy and computation cost. First, we construct a compact baseline by
removing the Focus module to keep the HR features and significantly overcomes
the missing error of small objects. Second, we utilize pixel-level multimodal
fusion (MF) …

arxiv detection multimodal remote sensing super resolution