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Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components


Authors:  JosephA.Vincent, MacSchwager....
Published date-11/23/2020

Abstract: We present a method for computing exact reachable sets for deep neural networks with rectified linear unit (ReLU) activation. Our method is well-suited for use in rigorous safety analysis of …

End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics


Authors:  CarlosMauricioVillegasBurgos, TianqiYang, NickVamivakas....
Published date-11/23/2020

Abstract: Deep learning using Convolutional Neural Networks (CNNs) has been shown to significantly out-performed many conventional vision algorithms. Despite efforts to increase the CNN efficiency both algorithmically and with specialized hardware, …

Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control


Authors:  LarsLienAnkile, MorganFeetHeggland, KjartanKrange....
Published date-11/23/2020
Tasks:  ImageAugmentation, TransferLearning

Abstract: The purpose of this paper is to design a solution to the problem of facial recognition by use of convolutional neural networks, with the intention of applying the solution in …

Siamese Tracking with Lingual Object Constraints


Authors:  MaximilianFiltenborg, EfstratiosGavves, DeepakGupta....
Published date-11/23/2020
Tasks:  ObjectTracking, QuestionAnswering, VideoSummarization, VisualObjectTracking, VisualQuestionAnswering

Abstract: Classically, visual object tracking involves following a target object throughout a given video, and it provides us the motion trajectory of the object. However, for many practical applications, this output …

Conjecturing-Based Computational Discovery of Patterns in Data


Authors:  J.P.Brooks, D.J.Edwards, C.E.Larson....
Published date-11/23/2020

Abstract: Modern machine learning methods are designed to exploit complex patterns in data regardless of their form, while not necessarily revealing them to the investigator. Here we demonstrate situations where modern …

An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer


Authors:  CarlosH.C.Pena, MateusG.Machado, MarianaS.Barros....
Published date-11/23/2020

Abstract: The IEEE Very Small Size Soccer (VSSS) is a robot soccer competition in which two teams of three small robots play against each other. Traditionally, a deterministic coach agent will …

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