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Deep Learning-based Aerial Image Segmentation with Open Data for
  Disaster Impact Assessment

Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment

10 June 2020
A. Gupta
Simon Watson
Hujun Yin
ArXivPDFHTML

Papers citing "Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment"

3 / 3 papers shown
Title
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object
  and Boundary Constraints
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
Xianping Ma
Qianqian Wu
Xingyu Zhao
Xiaokang Zhang
Man-On Pun
Bo Huang
38
43
0
05 Dec 2023
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for
  Natural Disaster Damage Assessment
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment
Maryam Rahnemoonfar
Tashnim Chowdhury
Robin Murphy
Odair Fernandes
8
34
0
02 Sep 2020
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
1