ResFusion: deeply fused scene parsing network for RGB‐D images
Scene parsing is a very challenging work for complex and diverse scenes. In this study, the authors address the problem of semantic segmentation of indoor scenes for red, green, blue‐depth (RGB‐D) images. Most existing works use only the colour or photometric information for this problem. Here, they...
Main Authors: | Juting Dai, Xinyi Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-12-01
|
Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2018.5218 |
Similar Items
-
Parsing main structures of indoor scenes from single RGB-D image
by: Yuanfeng ZHOU, et al.
Published: (2016-10-01) -
EDET: Entity Descriptor Encoder of Transformer for Multi-Modal Knowledge Graph in Scene Parsing
by: Sai Ma, et al.
Published: (2023-06-01) -
Convolution-Based Encoding of Depth Images for Transfer Learning in RGB-D Scene Classification
by: Radhakrishnan Gopalapillai, et al.
Published: (2021-11-01) -
Road-Scene Parsing Based on Attentional Prototype-Matching
by: Xiaoyu Chen, et al.
Published: (2022-08-01) -
Enhancing action recognition of construction workers using data-driven scene parsing
by: Jun Yang
Published: (2018-11-01)