Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty

13 February 2019

Papers citing "Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty"

5 / 5 papers shown

Title
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision Swetava Ganguli C. V. K. Iyer Vipul Pandey SSL 35 5 0 07 Oct 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 27 8 0 02 Mar 2022
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet Meiyu Li Hailiang Tang M. Chan Xiaobo Zhou Xiaohua Qian MedIm AI4CE 36 51 0 16 Feb 2019
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities Jared A. Dunnmon Swetava Ganguli D. Hau B. Husic 11 6 0 13 Feb 2019
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking Swetava Ganguli Jared A. Dunnmon D. Hau 11 12 0 13 Feb 2019