Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"Objectness"”.
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Regularization, Uncertainty Estimation and Out of Distribution Detection in Convolutional Neural Networks
… datasets. For the second problem we employ objectness measures to learn meaningful CNN predictions. Objectness is a measure of likelihood of an object from any class being present in a given image. We present a novel approach to object localization that combines the ideas of objectness and …
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Schemas
… the object and the experience of that things objectness. Strategically composed this experience is translated into texture, color, and pattern. In this thesis statement I will address how we understand objects in the world and the importance of our interaction with said objects. In addition I …
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Learning to Generate and Refine Object Proposals
… We design a set of new cues to encode the objectness, and then train an efficient random forest classifier to re-rank the initial proposals and linear regressors to fine-tune their locations. Next, we extend the task to the segment proposal generation in the same setting and develop a …
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Learning to Generate and Refine Object Proposals
… We design a set of new cues to encode the objectness, and then train an efficient random forest classifier to re-rank the initial proposals and linear regressors to fine-tune their locations. Next, we extend the task to the segment proposal generation in the same setting and develop a …
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Effects of noise and workload on performance with two object displays vs. a separated display
… feature of the rectangle (its area), rather than objectness per se, was the critical element supporting information integration and disrupting focused attention. The imposition of noise enhanced the subjective feeling of stress. Noise did not influence performance on the decision task, but …
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High-performance Object Detection and Tracking Using Deep Learning
… is also naturally used for introducing the objectness concept into visual tracking. This removes a long-standing target ambiguity in visual tracking tasks and we illustrate the empirical superiority of the more well-defined task. We also experimentally demonstrate the effectiveness of our …
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Image and video object selection
… they also lack the high-level understanding of ""objectness"" and semantics. Last but not the least, their generalization ability on unconstrained scenarios is very poor. Recently, deep learning has become the dominant method for computer vision tasks including recognition and detection since it …
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Feedback convolutional neural network in applications of computer vision
… approach to derive a measurement of “objectness,” which is further used as region proposal for object detection, and semantic segmentation. Motivated by the “biased competition theory,” which states that 1) a visual task is highly driven by goal or task, and 2) the unrelated neuron …