Floodnet: A high resolution aerial imagery dataset for post flood scene understanding
Visual scene understanding is the core task in making any crucial decision in any computer
vision system. Although popular computer vision datasets like Cityscapes, MS-COCO …
vision system. Although popular computer vision datasets like Cityscapes, MS-COCO …
Deep learning benchmarks and datasets for social media image classification for disaster response
During a disaster event, images shared on social media helps crisis managers gain
situational awareness and assess incurred damages, among other response tasks. Recent …
situational awareness and assess incurred damages, among other response tasks. Recent …
MEDIC: a multi-task learning dataset for disaster image classification
Recent research in disaster informatics demonstrates a practical and important use case of
artificial intelligence to save human lives and suffering during natural disasters based on …
artificial intelligence to save human lives and suffering during natural disasters based on …
Deepsdc: Deep ensemble learner for the classification of social-media flooding events
Disasters such as earthquakes, droughts, floods, and volcanoes adversely affect human
lives and valuable resources. Therefore, various response systems have been designed …
lives and valuable resources. Therefore, various response systems have been designed …
Efficient classification of imbalanced natural disasters data using generative adversarial networks for data augmentation
Rapid damage identification and classification in disastrous situations and natural disasters
are crucial for efficiently directing aid and resources. With the development of deep learning …
are crucial for efficiently directing aid and resources. With the development of deep learning …
Vqa-aid: Visual question answering for post-disaster damage assessment and analysis
Visual Question Answering system integrated with Unmanned Aerial Vehicle (UAV) has a lot
of potentials to advance the post-disaster damage assessment purpose. Providing …
of potentials to advance the post-disaster damage assessment purpose. Providing …
Role of Social Media Imagery in Disaster Informatics
The recent literature reports several practical and important use cases of social media
informatics where artificial intelligence (AI), machine learning (ML), and other relevant …
informatics where artificial intelligence (AI), machine learning (ML), and other relevant …
Flood level prediction via human pose estimation from social media images
Floods are the most common natural and among the most dangerous disasters in the world.
It is important to get up-to-date information about flooding and the flood level for flood …
It is important to get up-to-date information about flooding and the flood level for flood …
Robust training of social media image classification models
Images shared on social media help crisis managers gain situational awareness and assess
incurred damages, among other response tasks. As the volume and velocity of such content …
incurred damages, among other response tasks. As the volume and velocity of such content …
Segmentation of imbalanced classes in satellite imagery using adaptive uncertainty weighted class loss
We propose a novel loss function for the training of deep Convolutional Neural Networks
(CNNs) focusing on land use and land cover classification in remote sensed data. In satellite …
(CNNs) focusing on land use and land cover classification in remote sensed data. In satellite …