CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation

23 October 2018

Papers citing "CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation"

4 / 54 papers shown

Title
Semi-Supervised Semantic Mapping through Label Propagation with Semantic Texture Meshes R. Rosu Jan Quenzel Sven Behnke 8 19 0 17 Jun 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 27 985 0 21 Feb 2019
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector Di Feng Xiao Wei Lars Rosenbaum A. Maki Klaus C. J. Dietmayer 3DPC 23 86 0 29 Jan 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015