Erik Harutyunyan
Erik Harutyunyan is a Machine Learning Engineer, mostly specialized and interested in the Computer Vision domain. He is currently working at SuperAnnotate AI as a Machine Learning Researcher and concurrently pursuing a Master's degree in Mathematics in Data Science at the Technical University of Munich.
Sessions
08-13
12:00
40min
Active Learning for 3D mesh semantic segmentation
Erik Harutyunyan
The talk is about applications of active learning methods, mainly Monte-Carlo Dropout on 3D mesh/pointcloud semantic segmentation task. The topic is particularly interesting for practical applications of Deep Learning models on this type of data, as it gives a working approach for reducing the amount of data needed for training.
114W PAB