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Seminar: Tim Nattkemper

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Location: MB 2.23

Abstract:
Marine imaging has developed rapidly into a data - rich technique
applied for monitoring and exploration of the oceans. The analysis and
interpretation of the large image collections represents a bottleneck
problem, challenging computer science in general and computer vision
in particular. One specific obstacle is the lack and cost of image
annotations and class labels for the images, making a straight forward
application of modern deep learning architectures difficult. In my
presentation I will give an overview on our past works and show some
successful applications of Computer Vision methods in this special
context.

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