Learning compact generalizable neural representations supporting perceptual grouping

21 Jun 2020Vijay VeerabadranVirginia R. de Sa

Work at the intersection of vision science and deep learning is starting to explore the efficacy of deep convolutional networks (DCNs) and recurrent networks in solving perceptual grouping problems that underlie primate visual recognition and segmentation. Here, we extend this line of work to investigate the compactness and generalizability of DCN solutions to learning low-level perceptual grouping routines involving contour integration... (read more)

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