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Revisiting Classical Bagging with Modern Transfer Learning for
  On-the-fly Disaster Damage Detector

Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector

4 October 2019
Jiaxing Huang
Seungwon Lee
Jingyi Zhang
Taegyun Jeon
ArXiv (abs)PDFHTML

Papers citing "Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector"

4 / 4 papers shown
Incidents1M: a large-scale dataset of images with natural disasters,
  damage, and incidents
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidentsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ethan Weber
Dim P. Papadopoulos
Àgata Lapedriza
Ferda Ofli
Muhammad Imran
Antonio Torralba
233
39
0
11 Jan 2022
Contrastive Multiview Coding with Electro-optics for SAR Semantic
  Segmentation
Contrastive Multiview Coding with Electro-optics for SAR Semantic SegmentationIEEE Geoscience and Remote Sensing Letters (GRSL), 2021
Keumgang Cha
Junghoon Seo
Yeji Choi
151
31
0
31 Aug 2021
Multi-class segmentation under severe class imbalance: A case study in
  roof damage assessment
Multi-class segmentation under severe class imbalance: A case study in roof damage assessment
J. Boin
Nat Roth
Jigar Doshi
Pablo Llueca
Nicolas Borensztein
SSeg
138
7
0
14 Oct 2020
Detecting natural disasters, damage, and incidents in the wild
Detecting natural disasters, damage, and incidents in the wild
Ethan Weber
Nuria Marzo
Dim P. Papadopoulos
A. Biswas
Àgata Lapedriza
Ferda Ofli
Muhammad Imran
Antonio Torralba
165
64
0
20 Aug 2020
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