Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation

6 April 2016

Papers citing "Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation"

8 / 8 papers shown

Title
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving Jules Sanchez Jean-Emmanuel Deschaud Franccois Goulette 62 1 0 28 Jan 2025
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets Jules Sanchez Jean-Emmanuel Deschaud Franccois Goulette 3DPC 36 7 0 14 Feb 2022
Virtual to Real adaptation of Pedestrian Detectors Luca Ciampi Nicola Messina Fabrizio Falchi Claudio Gennaro Giuseppe Amato 28 35 0 09 Jan 2020
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios Victor Vaquero I. Pino Francesc Moreno-Noguer J. Solà Alberto Sanfeliu Juan Andrade-Cetto 3DPC 17 33 0 23 Aug 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 80 2,976 0 08 Nov 2017
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example Antonio M. López Jiaolong Xu J. L. Gómez David Vazquez G. Ros 22 11 0 29 Dec 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014