Philip Ogunbona

Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition

2019 · ACM Computing Surveys

This article takes a problem-oriented perspective and presents a comprehensive review of transfer-learning methods, both shallow and deep, for cross-dataset visual recognition. Specifically, it categorises the cross-dataset recognition into 17 problems based on a set …

Unsupervised Domain Expansion from Multiple Sources

2020 · arXiv (Cornell University)

Given an existing system learned from previous source domains, it is desirable to adapt the system to new domains without accessing and forgetting all the previous domains in some applications. This problem is known as …