DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery

13 September 2018

Papers citing "DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery"

8 / 8 papers shown

Title
FCDSN-DC: An Accurate and Lightweight Convolutional Neural Network for Stereo Estimation with Depth Completion Dominik Hirner Friedrich Fraundorfer 3DV 3DPC 37 2 0 14 Sep 2022
Survey on Semantic Stereo Matching / Semantic Depth Estimation Viny Saajan Victor Peter Neigel 3DPC 3DV MDE 21 2 0 21 Sep 2021
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction Julia Guerrero-Viu Sergio Izquierdo Philipp Schroppel Thomas Brox 24 0 0 01 Jun 2021
Unknown Object Segmentation from Stereo Images M. Durner W. Boerdijk M. Sundermeyer W. Friedl Zoltán-Csaba Márton Rudolph Triebel 36 34 0 11 Mar 2021
Point Set Voting for Partial Point Cloud Analysis Junming Zhang Weijia Chen Yuping Wang Ram Vasudevan Matthew Johnson-Roberson 3DPC 30 32 0 09 Jul 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 56 83 0 10 Jun 2020
Real-Time Semantic Stereo Matching Pier Luigi Dovesi Matteo Poggi Lorenzo Andraghetti Miquel Martí Hedvig Kjellström Alessandro Pieropan S. Mattoccia 3DV 24 71 0 01 Oct 2019
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks Xianzhi Du Mostafa El-Khamy Jungwon Lee 3DPC 32 49 0 19 Apr 2019