| _ | lipschitz | _ |
|---|
| AlexNet-NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and | lipschitz | -based data augmentation |
| Almost Regular Metrics on Groups and | lipschitz | -Continuity of Distance Transforms |
| Almost-Orthogonal Layers for Efficient General-Purpose | lipschitz | Networks |
| Characterization and Detection of Edges by | lipschitz | Exponents and MASW Wavelet Transform |
| Clip: Cheap | lipschitz | Training of Neural Networks |
| General Non- | lipschitz | Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm, A |
| Generation of Shading-off in Images by Extrapolation of | lipschitz | Functions |
| Highlight on a Feature Extracted at Fine Scales: The Pointwise | lipschitz | Regularity |
| How Does | lipschitz | Regularization Influence GAN Training? |
| Iterative Deep Neural Network Quantization With | lipschitz | Constraint |
| Iterative Support Shrinking Algorithm for Non- | lipschitz | Optimization in Image Restoration, An |
| Linearly Constrained Non- | lipschitz | Optimization for Image Restoration |
| lipschitz | Continuity Guided Knowledge Distillation |
| lipschitz | Continuity Retained Binary Neural Network |
| Loss-Sensitive Generative Adversarial Networks on | lipschitz | Densities |
| Low-Cost | lipschitz | -Independent Adaptive Importance Sampling of Stochastic Gradients |
| Minimal | lipschitz | Extensions for Vector-Valued Functions on Finite Graphs |
| Non- | lipschitz | L_p-Regularization and Box Constrained Model for Image Restoration |
| Non- | lipschitz | Models for Image Restoration with Impulse Noise Removal |
| Robust and accurate computation of geometric distance for | lipschitz | continuous implicit curves |
| Shape priors in variational image segmentation: Convexity, | lipschitz | continuity and globally optimal solutions |
| Spectral bounding: Strictly satisfying the 1- | lipschitz | property for generative adversarial networks |
| Study of a Robust Feature: The Pointwise | lipschitz | Regularity |
| Total Variation Based Regularizer Promoting Piecewise- | lipschitz | Reconstructions, A |
| Towards Robust Neural Networks with | lipschitz | Continuity |
| Transforming Radiance Field with | lipschitz | Network for Photorealistic 3D Scene Stylization |
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