Master’s degree in Science and Executive Engineering, Mines ParisTech (diplôme d’ingénieur)
Master’s degree in Artificial Intelligence and Data-Science (IASD), PSL Research University
Learning robust representations for improved visual understanding.
Recent breakthroughs in the field of computer vision, and in particular those leveraging deep supervised learning, often require large high-quality labeled datasets. In this thesis, we are interested in reducing human supervision during training as well as building robust visual representations from a limited number of annotated samples. We will tackle the data scarcity problem by leveraging data augmentation by looking at both theoretical and practical aspects.