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Generating Interpretable Poverty Maps using Object Detection in Satellite Images., , , , and . IJCAI, page 4410-4416. ijcai.org, (2020)Special track on AI for CompSust and Human well-being.Efficient Poverty Mapping from High Resolution Remote Sensing Images., , , , , and . AAAI, page 12-20. AAAI Press, (2021)Semantic Segmentation of Crop Type in Africa: A Novel Dataset and Analysis of Deep Learning Methods., , , , , and . CVPR Workshops, page 75-82. Computer Vision Foundation / IEEE, (2019)Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping., , , , and . AAAI, page 3929-3935. AAAI Press, (2016)SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning., , , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery., , , , , , , , and . AIES, page 353-359. ACM, (2019)Twice Is Nice: The Benefits of Two Ground Measures for Evaluating the Accuracy of Satellite-Based Sustainability Estimates., , , and . Remote. Sens., 13 (16): 3160 (2021)GeoLLM: Extracting Geospatial Knowledge from Large Language Models., , , , , and . CoRR, (2023)Farm Parcel Delineation Using Spatio-temporal Convolutional Networks., , , , and . CVPR Workshops, page 340-349. Computer Vision Foundation / IEEE, (2020)Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis., , , , , , , and . NeurIPS, page 27903-27915. (2021)