GRSL 2023: Attention-Aware Three-Branch Network for Salient Object Detection in Remote Sensing Images
基于encoder-decoder框架,提出了一系列缝合模块,GCA,FDUC,MSDC,RA。
GRSL 2023:ORSI Salient Object Detection via Cross-Scale Interaction and Enlarged Receptive Field
基于encoder-decoder框架,提出了三个缝合性模块,GLM,FSCM,EIM。
GLM:论文中没有给出图例,根据论文,GLM是基于通道维度的GAP和GMP对f5特征进行重新加权
FSCM:基于残差连接和dilation卷积,还有spatial attention,对特征进行润色
EIM:基于多尺度特征和空间,通道注意力,对特征进行润色
ISPRS 2023:Global–local–global context-aware network for salient object detection in optical remote sensing images
提出了GLGCNet,基于encoder-decoder框架,包含两个创新性模块,saliency-up module和edge assignment module,奇淫技巧堆模块无营养。
JSTARS 2023:An Important Pick-and-Pass Gated Refinement Network for Salient Object Detection in Optical Remote Sensing Images
奇淫技巧,堆模块
JSTARS 2023: Semantic-Edge Interactive Network for Salient Object Detection in Optical Remote Sensing Images