机译:使用屏蔽正规化和信号提升,在剩余网络中学习竞争渠道 - 明智的关注
South China Univ Technol Higher Educ Mega Ctr Sch Comp Sci & Engn Guangzhou 510641 Guangdong Peoples R China;
South China Univ Technol Higher Educ Mega Ctr Sch Comp Sci & Engn Guangzhou 510641 Guangdong Peoples R China;
South China Univ Technol Higher Educ Mega Ctr Sch Comp Sci & Engn Guangzhou 510641 Guangdong Peoples R China;
South China Univ Technol Higher Educ Mega Ctr Sch Comp Sci & Engn Guangzhou 510641 Guangdong Peoples R China;
South China Univ Technol Higher Educ Mega Ctr Sch Comp Sci & Engn Guangzhou 510641 Guangdong Peoples R China;
Residual networks; Competitive channel-wise attention; Masked regularization; Signal boosting;
机译:通过艰难和频道的注意网络来学习图表表示
机译:URCA-GaN:upsample + vish-wise注意图像到图像到图像翻译的生成对抗网络
机译:堆叠式U形网络具有面向通道的注意力,可实现图像超分辨率
机译:通过卷积网络以空间和通道明智的方式标记弱标签的音频标签
机译:基于神经网络的Boosting和深度学习彩色图像人脸检测与识别系统
机译:利用注意力增强的深度学习和基于网络的基因特征预测CRISPR-Cas系统的脱靶特异性和细胞特异性适应性
机译:通过卷积网络弱标记的音频标记,具有空间和通道的关注