Home /

Research

Showing 463 - 468 / 904

Towards Meta-Algorithm Selection


Authors:  AlexanderTornede, MarcelWever, EykeHüllermeier....
Published date-11/17/2020

Abstract: Instance-specific algorithm selection (AS) deals with the automatic selection of an algorithm from a fixed set of candidates most suitable for a specific instance of an algorithmic problem class, where …

EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution


Authors:  WilliamMcNally, KanavVats, AlexanderWong....
Published date-11/17/2020
Tasks:  KeypointDetection, Multi-PersonPoseEstimation, NeuralArchitectureSearch, PoseEstimation

Abstract: Neural architecture search has proven to be highly effective in the design of computationally efficient, task-specific convolutional neural networks across several areas of computer vision. In 2D human pose estimation, …

Recursive Inference for Variational Autoencoders


Authors:  MinyoungKim, VladimirPavlovic....
Published date-11/17/2020
Tasks:  VariationalInference

Abstract: Inference networks of traditional Variational Autoencoders (VAEs) are typically amortized, resulting in relatively inaccurate posterior approximation compared to instance-wise variational optimization. Recent semi-amortized approaches were proposed to address this drawback; …

Slender Object Detection: Diagnoses and Improvements


Authors:  ZhaoyiWan, YiminChen, SutaoDeng....
Published date-11/17/2020
Tasks:  ObjectDetection

Abstract: In this paper, we are concerned with the detection of a particular type of objects with extreme aspect ratios, namely slender objects. In real-world scenarios as well as widely-used datasets …

RELLIS-3D Dataset: Data, Benchmarks and Analysis


Authors:  PengJiang, PhilipOsteen, MaggieWigness....
Published date-11/17/2020
Tasks:  3DSemanticSegmentation, AutonomousNavigation, SceneUnderstanding, SemanticSegmentation

Abstract: Semantic scene understanding is crucial for robust and safe autonomous navigation, particularly so in off-road environments. Recent deep learning advances for 3D semantic segmentation rely heavily on large sets of …

Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging


Authors:  JosephLubars, HarshGupta, AdnanRaja....
Published date-11/17/2020
Tasks:  AutonomousDriving, MotionPlanning

Abstract: We consider the problem of designing an algorithm to allow a car to autonomously merge on to a highway from an on-ramp. Two broad classes of techniques have been proposed …

Filter by

Categories

Tags