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A Deep Neural Network for SSVEP-based Brain Computer Interfaces
OsmanBerkeGuney, MuhtashamOblokulov, HuseyinOzkan....
Published date-11/17/2020
EEG, Multi-classClassification
The target identification in brain-computer interface (BCI) speller systems refers to the multi-channel electroencephalogram (EEG) classification for predicting the target character that the user intends to spell. The EEG in …
Close Category Generalization
Yao-YuanYang, CyrusRashtchian, RuslanSalakhutdinov....
Published date-11/17/2020
Few-ShotLearning, Out-of-DistributionDetection, RepresentationLearning
Out-of-distribution generalization is a core challenge in machine learning. We introduce and propose a solution to a new type of out-of-distribution evaluation, which we call close category generalization. This task …
Learning Efficient GANs using Differentiable Masks and co-Attention Distillation
ShaojieLi, MingbaoLin, YanWang....
Published date-11/17/2020
Generative Adversarial Networks (GANs) have been widely-used in image translation, but their high computational and storage costs impede the deployment on mobile devices. Prevalent methods for CNN compression cannot be …
Contrastive Registration for Unsupervised Medical Image Segmentation
LihaoLiu, AngelicaIAviles-Rivero, Carola-BibianeSchönlieb....
Published date-11/17/2020
ContrastiveLearning, MedicalImageSegmentation, SemanticSegmentation
Medical image segmentation is a relevant task as it serves as the first step for several diagnosis processes, thus it is indispensable in clinical usage. Whilst major success has been …
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
MarvinChancán, MichaelMilford....
Published date-11/17/2020
AutonomousDriving, AutonomousVehicles, ImageRetrieval, RobotNavigation, Self-DrivingCars, SimultaneousLocalizationandMapping, VisualLocalization, VisualNavigation, VisualPlaceRecognition
Sequence-based place recognition methods for all-weather navigation are well-known for producing state-of-the-art results under challenging day-night or summer-winter transitions. These systems, however, rely on complex handcrafted heuristics for sequential matching …
Data-Driven Reachability Analysis Using Matrix Zonotopes
AmrAlanwar, AnneKoch, FrankAllgöwer....
Published date-11/17/2020
In this paper, we propose a data-driven reachability analysis approach for an unknown control system. Reachability analysis is an essential tool for guaranteeing safety properties. However, most current reachability analysis …