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Asymptotic Properties of the Distributional Synthetic Controls
As an alternative to synthetic control, the distributional Synthetic Control (DSC) proposed by Gunsilius (2023) provides estimates for quantile treatment effect and thus enabling researchers to comprehensively understand the impact of interventions in causal inference.
Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision
Rapid developments in machine vision have led to advances in a variety of industries, from medical image analysis to autonomous systems.
Asymptotic Properties of the Synthetic Control Method
This paper provides new insights into the asymptotic properties of the synthetic control method (SCM).
Defective Convolutional Layers Learn Robust CNNs
We first show that predictions made by the defective CNN are less dependent on textural information, but more on shape information, and further find that adversarial examples generated by the defective CNN appear to have semantic shapes.
Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model
In recent years, building change detection methods have made great progress by introducing deep learning, but they still suffer from the problem of the extracted features not being discriminative enough, resulting in incomplete regions and irregular boundaries.
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Change Detection
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Building change detection for remote sensing images
Change Detection
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