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End-To-End Semi-supervised Learning for Differentiable Particle Filters
HaoWen, XiongjieChen, GeorgiosPapagiannis....
Published date-11/11/2020
Recent advances in incorporating neural networks into particle filters provide the desired flexibility to apply particle filters in large-scale real-world applications. The dynamic and measurement models in this framework are …
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
RaminNabati, HairongQi....
Published date-11/10/2020
3DObjectDetection, AutonomousVehicles, ObjectDetection, SensorFusion
The perception system in autonomous vehicles is responsible for detecting and tracking the surrounding objects. This is usually done by taking advantage of several sensing modalities to increase robustness and …
A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs
JuntaoTan, ChangkyuSong, AbdeslamBoularias....
Published date-11/10/2020
Clustering, ObjectDetection, Self-SupervisedLearning
This paper presents a new self-supervised system for learning to detect novel and previously unseen categories of objects in images. The proposed system receives as input several unlabeled videos of …
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
KelvinXu, SiddharthVerma, ChelseaFinn....
Published date-11/10/2020
ContinualLearning
Reinforcement learning has the potential to automate the acquisition of behavior in complex settings, but in order for it to be successfully deployed, a number of practical challenges must be …
Building an Automated and Self-Aware Anomaly Detection System
SayanChakraborty, SmitShah, KiumarsSoltani....
Published date-11/10/2020
AnomalyDetection, TimeSeries
Organizations rely heavily on time series metrics to measure and model key aspects of operational and business performance. The ability to reliably detect issues with these metrics is imperative to …
ATCN: Agile Temporal Convolutional Networks for Processing of Time Series on Edge
MohammadrezaBaharani, StevenFurgurson, BabakParkhideh....
Published date-11/10/2020
HeartbeatClassification, TimeSeries, TimeSeriesPrediction
This paper presents a scalable deep learning model called Agile Temporal Convolutional Network (ATCN) for high-accurate fast classification and time series prediction in resource-constrained embedded systems. ATCN is primarily designed …