...
机译:PixiseGnet:使用卷积编码器解码器的像素级IRIS分段网络与堆积的沙漏瓶颈
image segmentation; iris recognition; feature extraction; image coding; decoding; convolutional neural nets; entropy codes; image classification; image restoration; image matching; siamese matching network; salient iris features; pixel-level iris segmentation network; stacked hourglass bottleneck; nonregular reflections; deep convolutional neural network; stacked hourglass network; cross-entropy loss; pixel-to-pixel classification loss; deep convolutional NN; encoder-decoder; image segmentation performance; content loss optimisation; hyper-parameterisation; Iris-DenseNet framework; iris image data sets; iris ROI image segmentation algorithm; biometric segmentation research; multiscale-multiorientation training; Pix-SegNet; train-once-test-all strategy; TOTA strategy; CASIA V3; 0 interval data sets; IIT-D interval data sets; UBIRIS-V2 interval data sets;
机译:PixiseGnet:使用卷积编码器解码器的像素级IRIS分段网络与堆积的沙漏瓶颈
机译:SpikEsegnet - 利用编码器 - 解码器网络与沙漏用于尖峰分割和在视觉成像中计数的深度学习方法
机译:级联深度卷积编码器 - 用于高效肝肿瘤细分的解码器神经网络
机译:基于编码器-解码器卷积神经网络的虹膜-巩膜分割
机译:基于面部和虹膜的演示攻击缓解深度卷积神经网络
机译:Cardiac-DeepIED:使用改进的端到端编码器-解码器网络对心脏双心进行自动像素级深度分割
机译:心脏深度:使用改进的端到端编码器 - 解码器网络的心脏双心室自动像素级深度分割