Journal Article2020

Visual attention-based comparative study on disaster detection from social media images

Arif, M Ashraful Amin, Amin Ahsan Ali, AKM Mahhubur Rahman

Innovations in Systems and Software Engineering

Springer London, Vol. 16, Issue 3-4, pp. 309–319, ISBN: 1614-5046

CCDS Authors

References

  1. 1.Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, Zbigniew Wojna. (2016). Rethinking the Inception Architecture for Computer Vision. , 2818–2826[10.1109/cvpr.2016.308]
  2. 2.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. [10.1609/aaai.v31i1.11231]
  3. 3.Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba. (2016). Learning Deep Features for Discriminative Localization. , 2921–2929[10.1109/cvpr.2016.319]
  4. 4.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi. (2017). Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1)[10.1609/aaai.v31i1.11231]
  5. 5.Xiangyu Zhang, Jianhua Zou, Kaiming He, Jian Sun. (2015). Accelerating Very Deep Convolutional Networks for Classification and Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10), 1943–1955[10.1109/tpami.2015.2502579]
  6. 6.Khan Muhammad, Jamil Ahmad, Sung Wook Baik. (2017). Early fire detection using convolutional neural networks during surveillance for effective disaster management. Neurocomputing, 288, 30–42[10.1016/j.neucom.2017.04.083]
  7. 7.Dat T. Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra. (2017). Damage Assessment from Social Media Imagery Data During Disasters. , 569–576[10.1145/3110025.3110109]
  8. 8.Firoj Alam, Muhammad Imran, Ferda Ofli. (2017). Image4Act. , 601–604[10.1145/3110025.3110164]
  9. 9.Hussein Mouzannar, Yara Rizk, Mariette Awad. (2018). Damage Identification in Social Media Posts using Multimodal Deep Learning.. ISCRAM
  10. 10.Konstantinos Avgerinakis, Anastasia Moumtzidou, Stelios Andreadis, Emmanouil Michail, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris. (2017). Visual and Textual Analysis of Social Media and Satellite Images for Flood Detection @ Multimedia Satellite Task MediaEval 2017.. MediaEval
  11. 11.Kashif Ahmad, Amir Sohail, Nicola Conci, Francesco G. B. De Natale. (2018). A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images. , 1–5[10.1109/ivmspw.2018.8448670]
  12. 12.Yara Rizk, Hadi S. Jomaa, Mariette Awad, Carlos Castillo. (2019). A computationally efficient multi-modal classification approach of disaster-related Twitter images. , 2050–2059[10.1145/3297280.3297481]
  13. 13.M. Ashraful Amin, Mahmood Kazi Mohammed. (2015). Overview of the ImageCLEF 2015 medical clustering task. CLEF (Working Notes)
  14. 14.Panagiotis Giannakeris, Konstantinos Avgerinakis, Αναστάσιος Καρακώστας, Stefanos Vrochidis, Ioannis Kompatsiaris. (2018). People and Vehicles in Danger - A Fire and Flood Detection System in Social Media. , 1–5[10.1109/ivmspw.2018.8448732]
  15. 15.Saumya Jetley, Nicholas A. Lord, Namhoon Lee, Philip H. S. Torr. (2018). Learn To Pay Attention. arXiv (Cornell University)[10.48550/arxiv.1804.02391]