1 citations · 2 across the 2 of their papers we have counts for
3 papers
Leveraging multiple datasets for deep leaf counting
Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A Tsaftaris
The number of leaves a plant has is one of the key traits (phenotypes) describing its development and growth. Here, we propose an automated, deep learning based approach for counti…
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network
Mario Valerio Giuffrida, Hanno Scharr, Sotirios A Tsaftaris
In recent years, there has been an increasing interest in image-based plant phenotyping, applying state-of-the-art machine learning approaches to tackle challenging problems, such…
Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations
Mario Valerio Giuffrida, Sotirios A. Tsaftaris
Learning invariant representations is a critical task in computer vision. In this paper, we propose the Theta-Restricted Boltzmann Machine (θ-RBM in short), which builds upon the o…