Enhancing semantic segmentation with detection priors and iterated graph cuts for robotics-Reference-Cited by-同舟云学术

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Enhancing semantic segmentation with detection priors and iterated graph cuts for robotics

Published:2020-04 Issue: Volume:90 Page:103467
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Antonello Morris,Chiesurin Sabrina,Ghidoni Stefano

Funder

IAS-Lab in the Department of Information Engineering of the University of Padua, Italy

the European Union’s Horizon 2020 research and innovation programme

MIUR

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference63 articles.

1. Mask r-cnn for object detection and instance segmentation on keras and tensorflow;Abdulla,2017

2. Contextually guided semantic labeling and search for three-dimensional point clouds;Anand;Int. J. Robot. Res.,2013

3. Multi-view 3d entangled forest for semantic segmentation and mapping;Antonello,2018

4. A proposal for semantic map representation and evaluation;Capobianco,2015

5. An open source robotic platform for ambient assisted living;Carraro;Artif. Intell. Robot. (AIRO),2015

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