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Found 7 papers, 4 papers with code
A framework to compare music generative models using automatic evaluation metrics extended to rhythm
To train a machine learning model is necessary to take numerous decisions about many options for each process involved, in the field of sequence generation and more specifically of music composition, the nature of the problem helps to narrow the options but at the same time, some other options appear for specific challenges.
Sequence Generation using Deep Recurrent Networks and Embeddings: A study case in music
Automatic generation of sequences has been a highly explored field in the last years.
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models
In this paper, we attempt to show the biased nature of the currently existing image captioning models and present a new image captioning dataset, Egoshots, consisting of 978 real life images with no captions.
Static force field representation of environments based on agents nonlinear motions
This paper presents a methodology that aims at the incremental representation of areas inside environments in terms of attractive forces.
Left/Right Hand Segmentation in Egocentric Videos
Due to their favorable location, wearable cameras frequently capture the hands of the user, and may thus represent a promising user-machine interaction tool for different applications.
Unsupervised Understanding of Location and Illumination Changes in Egocentric Videos
Wearable cameras stand out as one of the most promising devices for the upcoming years, and as a consequence, the demand of computer algorithms to automatically understand the videos recorded with them is increasing quickly.
The Evolution of First Person Vision Methods: A Survey
The emergence of new wearable technologies such as action cameras and smart-glasses has increased the interest of computer vision scientists in the First Person perspective.
