The two-volume set CCIS 1142 and 1143 constitutes thoroughly refereed contributions presented at the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.
For ICONIP 2019 a total of 345 papers was carefully reviewed and selected for publication out of 645 submissions. The 168 papers included in this volume set were organized in topical sections as follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.
Deep Residual-Dense Attention Network for Image Super-Resolution.- Discriminant Feature Learning with Self-Attention for Person Re-Identification.- SCS: Style and Content Supervision Network for Character Recognition with Unseen Font Style.- T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection.- IRSNET:An Inception-Resnet Feature Reconstruction Model for Building Segmentation.- Residual CRNN and Its Application to Handwritten Digit String Recognition.- G-HAPNet: A Novel Structure for Single Image Super-Resolution.- Inpainting with Sketch Reconstruction and Comprehensive Feature Selection.- Delving into Precise Attention in Image Captioning.- Dense Image Captioning based on Precise Feature Extraction.- Improve Image Captioning by Self-attention.- Dual-Path Recurrent Network for Image Super-Resolution.- Attention-based Image Captioning Using DenseNet Features.- High-Performance Light Field Reconstruction withlc$
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