Picture for Friedhelm Schwenker

Friedhelm Schwenker

PatternPortrait: Draw Me Like One of Your Scribbles

Add code
Jan 22, 2024
Viaarxiv icon

Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps

Add code
Aug 24, 2022
Figure 1 for Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Figure 2 for Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Figure 3 for Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Figure 4 for Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Viaarxiv icon

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability

Add code
Aug 24, 2022
Figure 1 for Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability
Figure 2 for Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability
Figure 3 for Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability
Figure 4 for Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability
Viaarxiv icon

PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis

Add code
Aug 19, 2022
Figure 1 for PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Figure 2 for PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Figure 3 for PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Figure 4 for PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Viaarxiv icon

Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts

Add code
Nov 30, 2020
Figure 1 for Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts
Figure 2 for Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts
Figure 3 for Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts
Figure 4 for Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts
Viaarxiv icon

StrokeCoder: Path-Based Image Generation from Single Examples using Transformers

Add code
Mar 26, 2020
Figure 1 for StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
Figure 2 for StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
Figure 3 for StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
Figure 4 for StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
Viaarxiv icon

A dataset of continuous affect annotations and physiological signals for emotion analysis

Add code
Dec 06, 2018
Figure 1 for A dataset of continuous affect annotations and physiological signals for emotion analysis
Figure 2 for A dataset of continuous affect annotations and physiological signals for emotion analysis
Figure 3 for A dataset of continuous affect annotations and physiological signals for emotion analysis
Figure 4 for A dataset of continuous affect annotations and physiological signals for emotion analysis
Viaarxiv icon