Deep Multi-task Learning for Railway Track Inspection

17 September 2015

Papers citing "Deep Multi-task Learning for Railway Track Inspection"

7 / 7 papers shown

Title
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation Hrishikesh Sharma Pandaba Pradhan P. Balamuralidhar 33 6 0 02 Dec 2021
Automatic Rail Component Detection Based on AttnConv-Net Tian-hu Wang Zijun Zhang Fangfang Yang K. Tsui 23 11 0 05 Aug 2021
Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance Xiao Gong Xi Chen Wei Chen 14 28 0 09 Nov 2020
Deep CNN-based Multi-task Learning for Open-Set Recognition Poojan Oza Vishal M. Patel 24 35 0 07 Mar 2019
Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs Thanuja Dharmasiri Andrew Spek Tom Drummond 3DV 19 28 0 23 Jun 2017
Sequential Score Adaptation with Extreme Value Theory for Robust Railway Track Inspection Xavier Gibert Vishal M. Patel Rama Chellappa 6 13 0 20 Oct 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012