Masterarbeit zu emergenten, breitenadaptiven Repräsentationen mittels räumlich gesteuertem Kanal-Routing (w/m/div.)
Core
Researching novel deep learning and computer vision approaches for adaptive perception systems in autonomous driving.
Role type
Master's thesis researcher (Deep Learning / Computer Vision)
Builds
Adaptive Transformer architectures for autonomous vehicle perception
Domain
Autonomous driving, Deep Learning, Computer Vision
Deliverable
production ML models
Required skills
Deep learning concepts, PyTorch, Python programming
Responsibilities
Develop and implement a novel adaptive Transformer architecture; Design and conduct experiments to evaluate model performance and efficiency for semantic segmentation and object detection; Analyze emergent network properties regarding resource distribution and feature representation organization.
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