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Full-Text Articles in Physical Sciences and Mathematics
Improved Scoring Models For Semantic Image Retrieval Using Scene Graphs, Erik Timothy Conser
Improved Scoring Models For Semantic Image Retrieval Using Scene Graphs, Erik Timothy Conser
Dissertations and Theses
Image retrieval via a structured query is explored in Johnson, et al. [7]. The query is structured as a scene graph and a graphical model is generated from the scene graph's object, attribute, and relationship structure. Inference is performed on the graphical model with candidate images and the energy results are used to rank the best matches. In [7], scene graph objects that are not in the set of recognized objects are not represented in the graphical model. This work proposes and tests two approaches for modeling the unrecognized objects in order to leverage the attribute and relationship models to …
Refining Bounding-Box Regression For Object Localization, Naomi Lynn Dickerson
Refining Bounding-Box Regression For Object Localization, Naomi Lynn Dickerson
Dissertations and Theses
For the last several years, convolutional neural network (CNN) based object detection systems have used a regression technique to predict improved object bounding boxes based on an initial proposal using low-level image features extracted from the CNN. In spite of its prevalence, there is little critical analysis of bounding-box regression or in-depth performance evaluation. This thesis surveys an array of techniques and parameter settings in order to further optimize bounding-box regression and provide guidance for its implementation. I refute a claim regarding training procedure, and demonstrate the effectiveness of using principal component analysis to handle unwieldy numbers of features produced …