机译:对抗半监督语义分割的反对网络集成了双重关注和稀疏表示
School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China;
School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China Collaborative Innovation Center of IoT Technology and Intelligent Systems Minjiang University Fuzhou 350108 China;
School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China;
Semi-supervised learning; Focal attention map; Dual attention; Sparse representation; Adversarial network;
机译:一种新型多重损失的深层对抗网络,用于处理半监督图像语义分割中的挑战性案例
机译:乳房超声图像与注意力生成对抗网络的半监督分段
机译:显着导向自我关注网络,用于弱半监督语义细分
机译:使用双重鉴别器对抗网络的半监督语义图像分割
机译:使用条件生成对抗性网络产生核染色图像的语义分割
机译:基于语义分割的红外和可见图像融合生成的对抗网络
机译:修改半监督的对抗对抗网络和分类器组合,用于分割卫星图像