Fairness continual learning approach to semantic scene understanding in open-world environments

TD Truong, HQ Nguyen, B Raj… - Advances in Neural …, 2023 - proceedings.neurips.cc
Continual semantic segmentation aims to learn new classes while maintaining the
information from the previous classes. Although prior studies have shown impressive …
被引用次数：8 相关文章

Fairness continual learning approach to semantic scene understanding in open-world environments

TD Truong, HQ Nguyen, B Raj, K Luu - Proceedings of the 37th …, 2023 - dl.acm.org
Continual semantic segmentation aims to learn new classes while maintaining the
information from the previous classes. Although prior studies have shown impressive …

Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments

TD Truong, HQ Nguyen, B Raj, K Luu - Thirty-seventh Conference on … - openreview.net
Continual semantic segmentation aims to learn new classes while maintaining the
information from the previous classes. Although prior studies have shown impressive …

Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments

TD Truong, HQ Nguyen, B Raj, K Luu - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Continual semantic segmentation aims to learn new classes while maintaining the
information from the previous classes. Although prior studies have shown impressive …

Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments

TD Truong, HQ Nguyen, B Raj, K Luu - arXiv preprint arXiv:2305.15700, 2023 - arxiv.org
Continual semantic segmentation aims to learn new classes while maintaining the
information from the previous classes. Although prior studies have shown impressive …