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

2 September 2020

Maryam Rahnemoonfar

Tashnim Chowdhury

Robin Murphy

Odair Fernandes

Papers citing "Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment"

7 / 7 papers shown

Title
Multi-step feature fusion for natural disaster damage assessment on satellite images M. Żarski J. Miszczak 25 1 0 29 Oct 2024
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment Maryam Rahnemoonfar Tashnim Chowdhury Robin Murphy SSeg 14 32 0 24 Feb 2022
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents Ethan Weber Dim P. Papadopoulos Àgata Lapedriza Ferda Ofli Muhammad Imran Antonio Torralba 72 23 0 11 Jan 2022
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis Argho Sarkar Maryam Rahnemoonfar 23 19 0 19 Jun 2021
Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment Tashnim Chowdhury Maryam Rahnemoonfar 6 15 0 30 May 2021
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,059 0 07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 448 15,652 0 02 Nov 2015