1 code implementation • 19 May 2022 • Minh Tran, Viet-Khoa Vo-Ho, Ngan T. H. Le
Capsule network is a recent new architecture that has achieved better robustness in part-whole representation learning by replacing pooling layers with dynamic routing and convolutional strides, which has shown potential results on popular tasks such as digit classification and object segmentation.
no code implementations • 16 Mar 2022 • Viet-Khoa Vo-Ho, Kashu Yamazaki, Hieu Hoang, Minh-Triet Tran, Ngan Le
To address such limitations, meta-learning has been adopted in the scenarios of few-shot learning and multiple tasks.
no code implementations • 16 Mar 2022 • Minh Tran, Viet-Khoa Vo-Ho, Kyle Quinn, Hien Nguyen, Khoa Luu, Ngan Le
We then provide recent developments of CapsNet for the task of medical image segmentation.
no code implementations • 17 Jul 2021 • Viet-Khoa Vo-Ho, Ngan Le, Kashu Yamazaki, Akihiro Sugimoto, Minh-Triet Tran
Temporal action proposal generation is an essential and challenging task that aims at localizing temporal intervals containing human actions in untrimmed videos.