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A lightweight extension that turns any pretrained backbone with spatial feature maps into a saccadic classifier through glimpse-induced inference is proposed, which improves consistently over its backbones.
Spectroscopic instruments with limited wavenumber coverage require accurate scan positioning or multiple measurements to complete the material analysis. This often requires prerequisite knowledge about the material under diagnosis to measure the spectral regions with distinguishing peaks. In our study, we simulate a Ba...
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