Tiny CNN for feature point description for document analysis: approach and dataset von Sheshkus, A., Chirvonaya, A., Arlazarov, V.L.

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MIDV-2020: a comprehensive benchmark dataset for identity document analysis von Bulatov, K.B., Emelianova, E.V., Tropin, D.V., Skoryukina, N.S., Chernyshova, Y.S., Sheshkus, A.V., Usilin, S.A., Ming, Z., Burie, J.-C., Luqman, M.M., Arlazarov, V.V.

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Vanishing point detection with direct and transposed fast Hough transform inside the neural network von Sheshkus, A., Chirvonaya, A., Matveev, D., Nikolaev, D., Arlazarov, V.L.

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DISTANCE-BASED PAIRS GENERATION FOR TRAINING METRIC NEURAL NETWORKS von SHESHKUS, Alexander Vladimirovich, KONDRASHEV, Ivan Vladimirovich, ARLAZAROV, Vladimir Viktorovich

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Artificial intelligence using convolutional neural network with hough transform von Sheshkus, Alexander Vladimirovich, Arlazarov, Vladimir Viktorovich, Arlazarov, Vladimir L'vovich, Nikolaev, Dmitry Petrovich

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ARTIFICIAL INTELLIGENCE USING CONVOLUTIONAL NEURAL NETWORK WITH HOUGH TRANSFORM von ARLAZAROV, Vladimir L`vovich, SHESHKUS, Alexander Vladimirovich, NIKOLAEV, Dmitry Petrovich, ARLAZAROV, Vladimir Viktorovich

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Artificial intelligence using convolutional neural network with Hough transform von Sheshkus, Alexander Vladimirovich, Arlazarov, Vladimir Viktorovich, Arlazarov, Vladimir L'vovich, Nikolaev, Dmitry Petrovich

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ARTIFICIAL INTELLIGENCE USING CONVOLUTIONAL NEURAL NETWORK WITH HOUGH TRANSFORM von ARLAZAROV, Vladimir L`vovich, SHESHKUS, Alexander Vladimirovich, NIKOLAEV, Dmitry Petrovich, ARLAZAROV, Vladimir Viktorovich

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