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Found 3 papers, 1 papers with code
Understanding the decisions of CNNs: An in-model approach
The model is trained end-to-end, with the classifier taking as input an image and the explainer’s resulting explanation, thus allowing for the classifier to focus on the relevant areas of such explanation.
Dimensional emotion recognition using visual and textual cues
This paper addresses the problem of automatic emotion recognition in the scope of the One-Minute Gradual-Emotional Behavior challenge (OMG-Emotion challenge).
Deep Local Binary Patterns
Local Binary Pattern (LBP) is a traditional descriptor for texture analysis that gained attention in the last decade.
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