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Found 7 papers, 1 papers with code
PatternPortrait: Draw Me Like One of Your Scribbles
This paper introduces a process for generating abstract portrait drawings from pictures.
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
The existence of adversarial attacks on convolutional neural networks (CNN) questions the fitness of such models for serious applications.
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability
In this paper, we adapt RBF networks as a classifier on top of CNNs by modifying the training process and introducing a new activation function to train modern vision architectures end-to-end for image classification.
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
With the spread of COVID-19 over the world, the need arose for fast and precise automatic triage mechanisms to decelerate the spread of the disease by reducing human efforts e. g. for image-based diagnosis.
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts
In the current study, we focus on binary, imbalanced classification tasks, i. e.~binary classification tasks in which one of the two classes is under-represented (minority class) in comparison to the other class (majority class).
StrokeCoder: Path-Based Image Generation from Single Examples using Transformers
This paper demonstrates how a Transformer Neural Network can be used to learn a Generative Model from a single path-based example image.
A dataset of continuous affect annotations and physiological signals for emotion analysis
From a computational viewpoint, emotions continue to be intriguingly hard to understand.
