Data Science seminaras (Fully Convolutional Networks for Semantic Segmentation, Tadas Danielius, IBM)

 

Data Science

Speaker: Tadas Danielius,
Data Scientist and Software Engineer at IBM.

Title: Fully Convolutional Networks for Semantic Segmentation

Abstract:
Recent interest in augmented reality wearables, home-automation devices, and self-driving vehicles has created a strong need for inferring knowledge from imagery. Semantic segmentation is one of the high-level task that paves the way towards complete scene understanding labeling image into semantically meaningful parts and classify each part into one of the pre determined classes. In this speech the speaker will talk about convolutional neural networks and fully convolutional neural networks (FCNs) for Semantic Segmentation.

Renginio data ir laikas:

2017 m. spalio 25 d., 19 val

Renginio vieta:

101 a., MIF (Naugarduko g. 24)