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GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery., , , and . CoRR, (2021)GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery., , , , , and . CoRR, (2021)Transformers For Recognition In Overhead Imagery: A Reality Check., , , , and . CoRR, (2022)Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials., , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery., , , , , and . IGARSS, page 3716-3719. IEEE, (2017)Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions., , , , , , , and . ICLR, OpenReview.net, (2022)Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning., , , , , and . ISPRS Int. J. Geo Inf., 11 (4): 222 (2022)