28 天前 - … deep separable convolution, which will lose the feature information of different
channels of the image … weakening the model recognition effect. In a word, with the increase of …

45 天前 - … land cover classification through input separation of RGB … classification map by
skip connection structures of U-Net. … information is lost because the feature maps are mixed in …

81 天前 - … Conv-TasNet (Convolutional timedomain audio separation network), PoCoNet and
Wave-U-Net. The … Biased Loss - это метод оценки качества модели, который учитывает …

92 天前 - … loss has thereafter been widely used as a loss function to facilitate the learning for
image separation … in our work [19] for mixed X-Ray image separation. Here, it enables simple …

99 天前 - … perform three major tasks: separation of multi-mouse bed … of 311 mice consisting
of a mixture of naïve and tumor-bearing … Further improvements to model inference include loss …

109 天前 - … with the combination of complex architectures, strong regularization, domain- specific
loss … (CL) work to enhance class separability and reduce intra-class variance, improving …

134 天前 - … neural architecture uses the deep structure of ResNet and the effective separation
of scales of feature pyramidal net… Secondly, it uses a combination of a novel loss function and …

205 天前 - … Regarding optimization, a blend of stochastic gradient descent … Depthwise separable
convolution breaks down a … of the training loss could indicate the learning progression of …

220 天前 - … The study also develops a unique loss function that combines crossentropy and
center loss mixing to improve intraclass compression and interclass separation of learned …

285 天前 - … credibility and cause huge property losses. Thus, numerous … convolution and vanilla
convolution (CDC-Mix) are mixed … proposed depthwise separable convolution block based …