most citedSpeeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

330 citations · 331 across the 2 of their papers we have counts for

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cs.CV2016★ 1 cited

Learnable Visual Markers

Oleg Grinchuk, Vadim Lebedev, Victor Lempitsky

We propose a new approach to designing visual markers (analogous to QR-codes, markers for augmented reality, and robotic fiducial tags) based on the advances in deep generative net…

cs.CV2014★ 330 cited

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba +2

We propose a simple two-step approach for speeding up convolution layers within large convolutional neural networks based on tensor decomposition and discriminative fine-tuning. Gi…