Date of Award

2022

Degree Type

Thesis

Department

Electrical Engineering

First Advisor

Resit Sendag

Abstract

Three alterations are investigated: The addition of a feature pyramid network to improve small object recognition, a loss weighting strategy dependent on object poses, and the addition of a transformer for feature comparisons.As a result increased performance was achieved for both the FPN and loss weighting alterations while the transformer alterations slightly underperformed the original model.

Creative Commons License

Creative Commons Attribution-Share Alike 4.0 License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.

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