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A large-scale object counting framework that is cost- and time-efficient.
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2026-01-25 23:32:16
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IS-Count: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling IS-Count: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling Chenlin Meng* , Enci Liu* , Willie Neiswanger , Jiaming Song , Marshall Burke , David B. Lobell , Stefano Ermon Stanford University Paper Code Colab Visualization of distributions in Africa. The proposal distribution learned from the population density raster (Subfig. (c)) represents the ground truth building distribution (Subfig. (d)) quite well. In the most ideal case, we want the proposal distribution to be proportional to the ground truth. Abstract Object detection in high-resolution satellite imagery is emerging as a scalable alternative to on-the-ground survey data collection in many environmental and socioeconomic monitoring applications. However, performing object detection over large geographies can still be prohibitively expens...
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