1 citations · 1 across the 2 of their papers we have counts for
4 papers
Multivariate Prototype Representation for Domain-Generalized Incremental Learning
Can Peng, Piotr Koniusz, Kaiyu Guo +2
Deep learning models suffer from catastrophic forgetting when being fine-tuned with samples of new classes. This issue becomes even more pronounced when faced with the domain shift…
Domain-aware Triplet loss in Domain Generalization
Kaiyu Guo, Brian Lovell
Despite much progress being made in the field of object recognition with the advances of deep learning, there are still several factors negatively affecting the performance of deep…
End to End Generative Meta Curriculum Learning For Medical Data Augmentation
Meng Li, Brian Lovell
Current medical image synthetic augmentation techniques rely on intensive use of generative adversarial networks (GANs). However, the nature of GAN architecture leads to heavy comp…
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
Meng Li, Chaoyi Li, Can Peng +1
Deep learning techniques have become widely utilized in histopathology image classification due to their superior performance. However, this success heavily relies on the availabil…