Accuracy Improvement of Semantic Segmentation Trained with Data Generated from a 3D Model by Histogram Matching Using Suitable References
Author:
Affiliation:
1. Meiji University,Graduate School of Science and Technology,Department of Computer Science,Kawasaki,Japan
2. Meiji University,School of Science and Technology,Department of Computer Science,Kawasaki,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945583.pdf?arnumber=9945583
Reference20 articles.
1. Accuracy Improvement of Semantic Segmentation Using Appropriate Datasets for Robot Navigation
2. Generation of Datasets for Semantic Segmentation from 3D Scanned Data to Train a Classifier for Visual Navigation
3. Faro 3d measurement, imaging and realization technology,0
4. Icnet for real-time semantic segmentation on high-resolution images;zhao;Proc European Conference on Computer Vision,2018
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