Abstract: We propose a systematic and efficient extension of the multimodal transfer-matrix method to obtain the dispersion diagram of structures with 2-D periodicity specifically targeted to ...

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Starting from a randomly-initialized generic deep network, we iteratively learn from batches of partially-occluded 2D-annotated training samples. Our training use two unsupervised, batch-wise losses.

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