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Found 4 papers, 1 papers with code
Learning to Ignore: Fair and Task Independent Representations
In this work we show that they can be seen as a common framework of learning invariant representations.
Observer Dependent Lossy Image Compression
To that end, we use a family of loss functions that allows to optimize deep image compression depending on the observer and to interpolate between human perceived visual quality and classification accuracy, enabling a more unified view on image compression.
Video Summarization by Learning Submodular Mixtures of Objectives
We present a novel method for summarizing raw, casually captured videos.
Creating Summaries from User Videos
Thereby we focus on user videos, which are raw videos containing a set of interesting events.
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