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Model Fusion for Building Type Classification from Aerial and Street View Images.

, , , , and . Remote. Sens., 11 (11): 1259 (2019)

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Compression Supports Spatial Deep Learning., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Biomimetic Sensors to Detect Bioanalytes in Real-Life Samples Using Molecularly Imprinted Polymers: A Review., , , and . Sensors, 21 (16): 5550 (2021)Dynamic Active Search for quick object detection with pan-tilt-zoom camera., , , and . ICIP (3), page 716-719. IEEE, (2001)Envisioning Physical Layer Flexibility Through the Power of Machine-Learning., , and . GLOBECOM (Workshops), page 50-55. IEEE, (2023)Bavaria Buildings - A Novel Dataset for Building Footprint Extraction, Instance Segmentation, and Data Quality Estimation., , , , and . SIGSPATIAL/GIS, page 108:1-108:4. ACM, (2023)Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa., , , , , and . SIGSPATIAL/GIS, page 55:1-55:9. ACM, (2023)Machine Learning Application Benchmark., , , , , , , , and . CF, page 229-235. ACM, (2023)Benchmarking and feasibility aspects of machine learning in space systems., , , , , and . CF, page 225-226. ACM, (2022)GloBiMaps - A Probabilistic Data Structure for In-Memory Processing of Global Raster Datasets.. SIGSPATIAL/GIS, page 3-12. ACM, (2019)Signal Separation in Global, Temporal Gravity Data., , and . GeoAI@SIGSPATIAL, page 73-82. ACM, (2023)