Jul 17, 2022 · Self-ONNs are self-organized variations of ONNs with the generative neuron model that can generate any non-linear function using the Taylor approximation.

We propose a 2D Self-organized Operational Neural Networks for Handwritten Text Recognition. We utilize deformable convolutions with Self-ONNs.

Jul 20, 2022 · Abstract— Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance.

We propose a 2D Self-organized Operational Neural Networks for Handwritten Text Recognition. •. We utilize deformable convolutions with Self-ONNs. •.

Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance.

2D Self-organized ONN model for Handwritten Text Recognition. https://doi.org/10.1016/j.asoc.2022.109311 ·. Journal: Applied Soft Computing, 2022, p. 109311.

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2D Self-Organized ONN Model For Handwritten Text Recognition ... With their heterogeneous network structure incorporating non-linear neurons, Operational Neural ...

Al-Madeed, et al., 2D self-organized ONN model for handwritten text recognition, Appl Soft Comput, 127, 2022, 109311. Search in Google Scholar. [39] .U ...