10 citations · 10 across the 1 of their papers we have counts for
4 papers
Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation
Simone Bonechi, Paolo Andreini, Monica Bianchini +1
Providing pixel-level supervisions for scene text segmentation is inherently difficult and costly, so that only few small datasets are available for this task. To face the scarcity…
Neural Poetry: Learning to Generate Poems using Syllables
Andrea Zugarini, Stefano Melacci, Marco Maggini
Motivated by the recent progresses on machine learning-based models that learn artistic styles, in this paper we focus on the problem of poem generation. This is a challenging task…
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation
Paolo Andreini, Simone Bonechi, Monica Bianchini +3
In recent years, the use of deep learning is becoming increasingly popular in computer vision. However, the effective training of deep architectures usually relies on huge sets of…
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation
Simone Bonechi, Paolo Andreini, Monica Bianchini +1
The absence of large scale datasets with pixel-level supervisions is a significant obstacle for the training of deep convolutional networks for scene text segmentation. For this re…