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Found 4 papers, 1 papers with code
Language Does More Than Describe: On The Lack Of Figurative Speech in Text-To-Image Models
The impressive capacity shown by recent text-to-image diffusion models to generate high-quality pictures from textual input prompts has leveraged the debate about the very definition of art.
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers
By training a simple, more interpretable model to locally approximate the decision boundary of a non-interpretable system, we can estimate the relative importance of the input features on the prediction.
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS dataset
Regarding the facial emotion recognizer, we extracted the Action Units of the videos and compared the performance between employing static models against sequential models.
Ranked #1 on
Emotion Recognition
on RAVDESS
(using extra training data)
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning
In this paper, we propose a multimodal emotion recognition system that relies on speech and facial information.
Ranked #3 on
Emotion Recognition
on RAVDESS
(using extra training data)
