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NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings


Authors:  JasonAngel, SegunTaofeekAroyehun, AlexanderGelbukh....
Published date-11/07/2020

Abstract: We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020. The task aims to classify whether a pair of concepts hold a prerequisite relation …

Rapid Pose Label Generation through Sparse Representation of Unknown Objects


Authors:  RohanPratapSingh, MehdiBenallegue, YusukeYoshiyasu....
Published date-11/07/2020
Tasks:  PoseEstimation

Abstract: Deep Convolutional Neural Networks (CNNs) have been successfully deployed on robots for 6-DoF object pose estimation through visual perception. However, obtaining labeled data on a scale required for the supervised …

TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation


Authors:  YujiaZhang, QianzhongLi, XiaoguangZhao....
Published date-11/07/2020

Abstract: Regular pavement inspection plays a significant role in road maintenance for safety assurance. Existing methods mainly address the tasks of crack detection and segmentation that are only tailored for long-thin …

Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles


Authors:  ChristopherClark, MarkYatskar, LukeZettlemoyer....
Published date-11/07/2020
Tasks:  NaturalLanguageInference, QuestionAnswering, VisualQuestionAnswering

Abstract: Many datasets have been shown to contain incidental correlations created by idiosyncrasies in the data collection process. For example, sentence entailment datasets can have spurious word-class correlations if nearly all …

Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy


Authors:  GuoqingBao, ManuelB.Graeber, XiuyingWang....
Published date-11/07/2020

Abstract: Deep convolutional neural networks have been proven successful in multiple benchmark challenges in recent years. However, the performance improvements are heavily reliant on increasingly complex network architecture and a high …

Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns


Authors:  LiangzhiLi, ManishaVerma, BowenWang....
Published date-11/07/2020

Abstract: The status of retinal arteriovenous crossing is of great significance for clinical evaluation of arteriolosclerosis and systemic hypertension. As an ophthalmology diagnostic criteria, Scheie's classification has been used to grade …

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