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Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs
Even though convolutional neural networks can classify objects in images very accurately, it is well known that the attention of the network may not always be on the semantically important regions of the scene.
Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning
We further explore the non-linear feature subspace and conclude that our network does not operate in the Euclidean subspace but rather in the Riemannian subspace.
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