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Found 2 papers, 1 papers with code
Appearance invariance in convolutional networks with neighborhood similarity
We present a neighborhood similarity layer (NSL) which induces appearance invariance in a network when used in conjunction with convolutional layers.
SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation
We then propose a Bayesian model that combines the supervised and the unsupervised information for probabilistic learning.
Electron Microscopy Image Segmentation
Image Segmentation
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