2.8k citations · 13.3k across the 90 of their papers we have counts for
5 papers · 2 filters
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller +2
We present a deep neural network-based approach to image quality assessment (IQA). The network is trained end-to-end and comprises ten convolutional layers and five pooling layers…
Identifying individual facial expressions by deconstructing a neural network
Farhad Arbabzadah, Grégoire Montavon, Klaus-Robert Müller +1
This paper focuses on the problem of explaining predictions of psychological attributes such as attractiveness, happiness, confidence and intelligence from face photographs using d…
Object Boundary Detection and Classification with Image-level Labels
Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller +1
Semantic boundary and edge detection aims at simultaneously detecting object edge pixels in images and assigning class labels to them. Systematic training of predictors for this ta…
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
Alexander Binder, Grégoire Montavon, Sebastian Bach +2
Layer-wise relevance propagation is a framework which allows to decompose the prediction of a deep neural network computed over a sample, e.g. an image, down to relevance scores fo…
Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth
Sebastian Bach, Alexander Binder, Klaus-Robert Müller +1
We present an application of the Layer-wise Relevance Propagation (LRP) algorithm to state of the art deep convolutional neural networks and Fisher Vector classifiers to compare th…