3260 papers • 126 benchmarks • 313 datasets
This task has no description! Would you like to contribute one?
(Image credit: Papersgraph)
These leaderboards are used to track progress in emotion-recognition-in-context-5
Use these libraries to find emotion-recognition-in-context-5 models and implementations
No subtasks available.
This paper presents EMOTIC, a dataset of images of people in a diverse set of natural situations, annotated with their apparent emotion, and trains different CNN models for emotion recognition, combining the information of the bounding box containing the person with the contextual information extracted from the scene.
Deep networks for context-aware emotion recognition, called CAER-Net, are presented that exploit not only human facial expression but also context information in a joint and boosting manner to hide human faces in a visual scene and seek other contexts based on an attention mechanism.
Adding a benchmark result helps the community track progress.