2 code implementations • 17 Feb 2023 • Nguyen Huu Phong, Bernardete Ribeiro
To extend our approach to video, we integrate ConvNets with state-of-the-art temporal methods such as Transformer and Recurrent Neural Networks.
Ranked #75 on Action Recognition on UCF101
1 code implementation • 20 May 2022 • Nguyen Huu Phong, Augusto Santos, Bernardete Ribeiro
In such framework, the vector of weights of each ConvNet is typically cast as the position of a particle in phase space whereby PSO collaborative dynamics intertwines with Stochastic Gradient Descent (SGD) in order to boost training performance and generalization.
Ranked #39 on Image Classification on CIFAR-10
no code implementations • 20 May 2022 • Nguyen Huu Phong, Bernardete Ribeiro
In this research, we present our findings to recognize American Sign Language from series of hand gestures.
no code implementations • 30 Jul 2020 • Nguyen Huu Phong, Bernardete Ribeiro
Capsule Networks face a critical problem in computer vision in the sense that the image background can challenge its performance, although they learn very well on training data.
1 code implementation • 30 Jul 2020 • Nguyen Huu Phong, Bernardete Ribeiro
In addition, we extend the training strategy so that our model performs comparably to leading models and can even match the state-of-the-art models on several challenging datasets (e. g., SVHN (0. 99), Cifar-100 (0. 9027) and Cifar-10 (0. 9852)).
Ranked #1 on Image Classification on Surrey ASL
no code implementations • 18 Mar 2019 • Nguyen Huu Phong, Bernardete Ribeiro
Image recognition using Deep Learning has been evolved for decades though advances in the field through different settings is still a challenge.
no code implementations • 18 Mar 2019 • Nguyen Huu Phong, Bernardete Ribeiro
Capsule Networks (CN) offer new architectures for Deep Learning (DL) community.