Date of Award
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.
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Frink, Travis, "ENHANCED DEEP TEMPLATE-BASED OBJECT INSTANCE DETECTION" (2022). Open Access Master's Theses. Paper 2238.