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)
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 • 15 Jun 2020 • Christos Chatzikonstantinou, Georgios Th. Papadopoulos, Kosmas Dimitropoulos, Petros Daras
In this paper, the problem of pruning and compressingthe weights of various layers of deep neural networks is in-vestigated.
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.
Ranked #10 on Sign Language Recognition on RWTH-PHOENIX-Weather 2014 T