ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.12361
  4. Cited By
RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset
  for Natural Disaster Damage Assessment
v1v2v3v4 (latest)

RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment

24 February 2022
Maryam Rahnemoonfar
Tashnim Chowdhury
Robin Murphy
    SSeg
ArXiv (abs)PDFHTML

Papers citing "RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment"

2 / 2 papers shown
Title
ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment
ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment
Ehsan Karimi
Maryam Rahnemoonfar
22
0
0
30 May 2025
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
Hongruixuan Chen
Jian Song
Olivier Dietrich
Clifford Broni-bediako
Weihao Xuan
...
Yimin Wei
J. Xia
Cuiling Lan
Konrad Schindler
Naoto Yokoya
293
7
0
10 Jan 2025
1