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Physical world assistive signals for deep neural network classifiers -- neither defense nor attack
We discuss how we can exploit these insights to re-think, or avoid, some patterns that might contribute to, or degrade, the detectability of objects in the real-world.
Optimizing Auto-correlation for Fast Target Search in Large Search Space
To this end we propose an Efficient Group Size (EGS) algorithm which minimizes the number of similarity computations for a particular search image.
Semi-supervised Spectral Clustering for Image Set Classification
We present an image set classification algorithm based on unsupervised clustering of labeled training and unlabeled test data where labels are only used in the stopping criterion.
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