28 citations · 50 across the 8 of their papers we have counts for
4 papers · 1 filter
Number of Attention Heads vs Number of Transformer-Encoders in Computer Vision
Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh
Determining an appropriate number of attention heads on one hand and the number of transformer-encoders, on the other hand, is an important choice for Computer Vision (CV) tasks us…
Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics
Simon Donig, Maria Christoforaki, Bernhard Bermeitinger +1
In the last years, image classification processes like neural networks in the area of art-history and Heritage Informatics have experienced a broad distribution (Lang and Ommer 201…
Object Classification in Images of Neoclassical Artifacts Using Deep Learning
Bernhard Bermeitinger, Maria Christoforaki, Simon Donig +1
In this paper, we report on our efforts for using Deep Learning for classifying artifacts and their features in digital visuals as a part of the Neoclassica framework. It was conce…
Object classification in images of Neoclassical furniture using Deep Learning
Bernhard Bermeitinger, André Freitas, Simon Donig +1
This short paper outlines research results on object classification in images of Neoclassical furniture. The motivation was to provide an object recognition framework which is able…