no code implementations • 18 Jul 2022 • DIMITRIOS KONSTANTINIDIS, Ilias Papastratis, Kosmas Dimitropoulos, Petros Daras
Vision Transformers are very popular nowadays due to their state-of-the-art performance in several computer vision tasks, such as image classification and action recognition.
Ranked #1 on Image Classification on Tiny-ImageNet (Top-1 Accuracy metric)
1 code implementation • arXiv 2021 • Ilias Papastratis
This project focuses on the self-supervised training of convolutional neural networks (CNNs) and transformer networks for the task of image recognition.
no code implementations • Sensors 2021 • Ilias Papastratis, Kosmas Dimitropoulos, Petros Daras
The proposed network architecture consists of a generator that recognizes sign language glosses by extracting spatial and temporal features from video sequences, as well as a discriminator that evaluates the quality of the generator’s predictions by modeling text information at the sentence and gloss levels.
1 code implementation • 24 Jul 2020 • Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras
In this paper, a comparative experimental assessment of computer vision-based methods for sign language recognition is conducted.
no code implementations • 11 May 2020 • Ilias Papastratis, Kosmas Dimitropoulos, DIMITRIOS KONSTANTINIDIS, Petros Daras
The proposed method is trained jointly with video and text latent representations.