Charlie Lehman
Charlie Lehman
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Special Session
Robustness and Overfitting Behavior of Implicit Background Models
SS-13:Explainable Machine Learning for Image Processing
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
SS-08:Dynamic Background Reconstruction/Subtraction for Challenging Environments
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
SS-08:Dynamic Background Reconstruction/Subtraction for Challenging Environments
Robustness and Overfitting Behavior of Implicit Background Models
In this paper, we examine the overfitting behavior of image classification models modified with Implicit Background Estimation (SCrIBE), which transforms them into weakly supervised segmentation models that provide spatial domain visualizations …
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