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A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation


Authors:  RihuanKe, AngelicaAviles-Rivero, SaurabhPandey....
Published date-12/01/2020
Tasks:  SemanticSegmentation, Semi-SupervisedSemanticSegmentation

Abstract: Semantic segmentation has been widely investigated in the community, in which the state of the art techniques are based on supervised models. Those models have reported unprecedented performance at the …

Domain Generalization via Entropy Regularization


Authors:  ShanshanZhao, MingmingGong, TongliangLiu....
Published date-12/01/2020
Tasks:  DomainGeneralization

Abstract: Domain generalization aims to learn from multiple source domains a predictive model that can generalize to unseen target domains. One essential problem in domain generalization is to learn discriminative domain-invariant …

Digraph Inception Convolutional Networks


Authors:  ZekunTong, YuxuanLiang, ChangshengSun....
Published date-12/01/2020

Abstract: Graph Convolutional Networks (GCNs) have shown promising results in modeling graph-structured data. However, they have difficulty with processing digraphs because of two reasons: 1) transforming directed to undirected graph to …

Barking up the right tree: an approach to search over molecule synthesis DAGs


Authors:  JohnBradshaw, BrooksPaige, MattJ.Kusner....
Published date-12/01/2020

Abstract: When designing new molecules with particular properties, it is not only important what to make but crucially how to make it. These instructions form a synthesis directed acyclic graph (DAG), …

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training


Authors:  YongganFu, HaoranYou, YangZhao....
Published date-12/01/2020
Tasks:  Quantization

Abstract: Recent breakthroughs in deep neural networks (DNNs) have fueled a tremendous demand for intelligent edge devices featuring on-site learning, while the practical realization of such systems remains a challenge due …

Group Contextual Encoding for 3D Point Clouds


Authors:  XuLiu, ChengtaoLi, JianWang....
Published date-12/01/2020
Tasks:  SceneUnderstanding

Abstract: Global context is crucial for 3D point cloud scene understanding tasks. In this work, we extended the contextual encoding layer that was originally designed for 2D tasks to 3D Point …

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