Exploring fusion techniques in U-Net and DeepLab V3 architectures for multi-modal land cover classification-Reference-Cited by-同舟云学术

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Exploring fusion techniques in U-Net and DeepLab V3 architectures for multi-modal land cover classification

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:Earth Resources and Environmental Remote Sensing/GIS Applications XIII
language:
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Author:

Qiu Kevin,Budde Lina E.,Bulatov Dimitri,Iwaszczuk Dorota

Publisher

SPIE

Reference24 articles.

1. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

2. Effective fusion of multi-modal data with group convolutions for semantic segmentation of aerial imagery;Chen,2019

3. SEMANTIC LABELING OF STRUCTURAL ELEMENTS IN BUILDINGS BY FUSING RGB AND DEPTH IMAGES IN AN ENCODER-DECODER CNN FRAMEWORK

4. Classification with an edge: Improving semantic image segmentation with boundary detection

5. IEEE Transactions on Pattern Analysis and Machine Intelligence

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison between U-Net and DeepLabV3 for Crawling Waves Sonoelastography approach;2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM);2023-11-15

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