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Found 12 papers, 6 papers with code
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
We propose using an evaluation model $-$ a model that describes the conditional distribution of the predictive model score $-$ to form model-based metric (MBM) estimates.
Modeling patterns of smartphone usage and their relationship to cognitive health
The ubiquity of smartphone usage in many people's lives make it a rich source of information about a person's mental and cognitive state.
Diverse feature visualizations reveal invariances in early layers of deep neural networks
Here we propose a method to discover invariances in the responses of hidden layer units of deep neural networks.
Guiding human gaze with convolutional neural networks
Thus, manipulating fixation patterns to guide human attention is an exciting challenge in digital image processing.
Understanding Low- and High-Level Contributions to Fixation Prediction
This model achieves better performance than all models not using features pre-trained on object recognition, making it a strong baseline to assess the utility of high-level features.
Synthesising Dynamic Textures using Convolutional Neural Networks
Here we present a parametric model for dynamic textures.
Controlling Perceptual Factors in Neural Style Transfer
Neural Style Transfer has shown very exciting results enabling new forms of image manipulation.
Preserving Color in Neural Artistic Style Transfer
This note presents an extension to the neural artistic style transfer algorithm (Gatys et al.).
Image Style Transfer Using Convolutional Neural Networks
Rendering the semantic content of an image in different styles is a difficult image processing task.
Texture Synthesis Using Shallow Convolutional Networks with Random Filters
The current state of the art in parametric texture synthesis relies on the multi-layer feature space of deep CNNs that were trained on natural images.
A Neural Algorithm of Artistic Style
In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image.
Texture Synthesis Using Convolutional Neural Networks
Here we introduce a new model of natural textures based on the feature spaces of convolutional neural networks optimised for object recognition.
