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Robust Training of Social Media Image Classification Models for Rapid
  Disaster Response

Robust Training of Social Media Image Classification Models for Rapid Disaster Response

9 April 2021
Firoj Alam
Tanvirul Alam
Muhammad Imran
Ferda Ofli
    OOD
    VLM
ArXivPDFHTML

Papers citing "Robust Training of Social Media Image Classification Models for Rapid Disaster Response"

18 / 18 papers shown
Title
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
Firoj Alam
Tanvirul Alam
Md. Arid Hasan
A. Hasnat
Muhammad Imran
Ferda Ofli
VLM
42
52
0
29 Aug 2021
Flood Detection via Twitter Streams using Textual and Visual Features
Flood Detection via Twitter Streams using Textual and Visual Features
Firoj Alam
Zohaib Hassan
Kashif Ahmad
Asma Gul
Michael Reiglar
Nicola Conci
Ala I. Al-Fuqaha
26
4
0
30 Nov 2020
Deep Learning Benchmarks and Datasets for Social Media Image
  Classification for Disaster Response
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response
Firoj Alam
Ferda Ofli
Muhammad Imran
Tanvirul Alam
U. Qazi
VLM
46
53
0
17 Nov 2020
Visual Sentiment Analysis from Disaster Images in Social Media
Visual Sentiment Analysis from Disaster Images in Social Media
Syed Zohaib Hassan
Kashif Ahmad
Steven Hicks
Pål Halvorsen
Ala I. Al-Fuqaha
Nicola Conci
Michael Riegler
41
43
0
04 Sep 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
58
56
0
20 Aug 2020
Multimodal Categorization of Crisis Events in Social Media
Multimodal Categorization of Crisis Events in Social Media
Mahdi Abavisani
Liwei Wu
Shengli Hu
Joel R. Tetreault
A. Jaimes
73
88
0
10 Apr 2020
Multitask Emotion Recognition with Incomplete Labels
Multitask Emotion Recognition with Incomplete Labels
Didan Deng
Zhaokang Chen
Bertram E. Shi
CVBM
51
95
0
10 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
157
3,554
0
21 Jan 2020
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
92
681
0
21 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
307
2,387
0
11 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
232
3,490
0
30 Sep 2019
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task
  Learning and ArcFace
Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace
D. Kollias
Stefanos Zafeiriou
CVBM
76
346
0
25 Sep 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
135
2,316
0
29 Apr 2019
Localizing and Quantifying Damage in Social Media Images
Localizing and Quantifying Damage in Social Media Images
Xukun Li
Xukun Li
Doina Caragea
Muhammad Imran
38
57
0
09 Jun 2018
Automatic Image Filtering on Social Networks Using Deep Learning and
  Perceptual Hashing During Crises
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises
T. Nguyen
Firoj Alam
Ferda Ofli
Muhammad Imran
46
86
0
09 Apr 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,560
0
07 Oct 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
153
7,486
0
24 Feb 2016
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
231
8,336
0
06 Nov 2014
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