MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos

30 June 2020

Papers citing "MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos"

7 / 7 papers shown

Title
Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery Thomas Manzini Priyankari Perali Jayesh Tripathi Robin Murphy 34 0 0 12 May 2025
GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing Hosam Elgendy Ahmed Sharshar Ahmed Aboeitta Yasser Ashraf Mohsen Guizani 35 2 0 25 Oct 2024
NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters A. Proma Md. Saiful Islam Stela Ciko Raiyan Abdul Baten E. Hoque 42 3 0 21 Dec 2022
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition Thanh-Dat Truong Quoc-Huy Bui C. Duong Han-Seok Seo Son Lam Phung Xin Li Khoa Luu ViT 42 49 0 19 Mar 2022
S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification Han Zhao Chen Zhang Belei Zhu Zejun Ma Ke-jun Zhang ViT 16 28 0 21 Feb 2022
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images Yu Shen Sijie Zhu Taojiannan Yang Chong Chen D. Pan Jianyu Chen Liang Xiao Q. Du 33 68 0 16 May 2021
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment Maryam Rahnemoonfar Tashnim Chowdhury Robin Murphy Odair Fernandes 18 35 0 02 Sep 2020