Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation

Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation

Taking depth into consideration has been proven to improve the performance of semantic segmentation through providing additional geometry information. Most existing works adopt a two-stream network, extracting features from color images and depth images separately using two branches of the same stru...

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Bibliographic Details
Main Authors: Li Yan, Jianming Huang, Hong Xie, Pengcheng Wei, Zhao Gao
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
semantic segmentation
self-attention
depth fusion
transformer
Online Access:https://www.mdpi.com/2072-4292/14/5/1294

Internet

https://www.mdpi.com/2072-4292/14/5/1294

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