2 papers
cs.CV2022
Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection
Taeyong Song, Sunok Kim, SungTai Kim +2
Shape deformation of targets in SAR image due to random orientation and partial information loss caused by occlusion of the radar signal, is an essential challenge in SAR ship dete…
cs.IT2014
Greedy Sparse Signal Recovery with Tree Pruning
Jaeseok Lee, Suhyuk Kwon, Jun Won Choi +1
Recently, greedy algorithm has received much attention as a cost-effective means to reconstruct the sparse signals from compressed measurements. Much of previous work has focused o…