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Found 4 papers, 2 papers with code
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
If one only requires only marginal calibration on the image level, this calibration set consists of all individual pixels in the images available for calibration.
Constrained Empirical Risk Minimization: Theory and Practice
Deep Neural Networks (DNNs) are widely used for their ability to effectively approximate large classes of functions.
Subpixel object segmentation using wavelets and multi resolution analysis
The effectiveness of the proposed method is demonstrated by delineating boundaries of simply connected domains (organs) in medical images using Debauches wavelets and comparing performance with a U-Net baseline.
Subpixel object segmentation using wavelets and multiresolution analysis
The effectiveness of the proposed method is demonstrated by delineating boundaries of simply connected domains (organs) in medical images using Debauches wavelets and comparing performance with a U-Net baseline.
