7 citations · 8 across the 4 of their papers we have counts for
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cs.CV2022★ 1 cited
A deep learning approach for detection and localization of leaf anomalies
Davide Calabrò, Massimiliano Lupo Pasini, Nicola Ferro +1
The detection and localization of possible diseases in crops are usually automated by resorting to supervised deep learning approaches. In this work, we tackle these goals with uns…
cs.CV2021
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin +2
We propose a distributed approach to train deep convolutional generative adversarial neural network (DC-CGANs) models. Our method reduces the imbalance between generator and discri…