Continual Unsupervised Domain Adaptation for Semantic Segmentation.Joonhyuk KimSahng-Min YooGyeong-Moon ParkJong-Hwan Kim
In our work, we introduce a new, data-constrained DA paradigm where unlabeled target samples are received in batches and adaptation is performed continually. We propose a novel source-free method for continual unsupervised domain adaptation that utilizes a buffer for selective replay of previously ...
Self- and unsupervised incremental learning有一种方法,可以执行明确的任务分类并采用高斯混合模型拟合学习的表示。 Meta-learning在解决相关任务时积累的信息用来学习新任务。 这种方法可以学习那些能减少未来梯度干扰并基于此改善传递的参数。 作者最后得到的一些结论: 比较无样本方法,LwF获得最佳结果。其他正则化方法,与...
2.3 Semi-supervised, Few-shot and Unsupervised CL 半监督、小样本和无监督 CL 2.4 Theoretical Analysis 理论分析 3.1 Forgetting in Fine-Tuning Foundation Models 微调基础模型中的遗忘 3.2 Forgetting in One-Epoch Pre-training One-Epoch 预训练中的遗忘 3.3 CL in Foundation Model 基础模型中的CL 4 FORGET...
Domain Adaptation Unsupervised domain adaptation (UDA) [44,46] aims to improve the target model performance in the presence of a domain shift between the labeled source domain and unla- beled target domain. During training, UDA methods often align the feature distributions between the two domains...
Unsupervised domain adaptive person re-identification (Re-ID) methods alleviate the burden of data annotation through generating pseudo supervision messages. However, real-world Re-ID systems, with continuously accumulating data streams, simultaneously demand more robust adaptation and anti-forgetting ...
modeling, discover topics from document collections; 一种写结合continuallearning的论文范式; code开源...Abstractcontinuallearning+ unsupervised topic modeling《Lifelong machine learningfornatural Neural Voice Cloning with a Few Samples 网络需要近20小时的训练数据,但是在voice cloning一个unseen的新的说话人时,仅...
Forgetting in Domain Adaptation[Back to top]The goal of domain adaptation is to transfer the knowledge from a source domain to a target domain.Paper TitleYearConference/Journal Towards Cross-Domain Continual Learning 2024 ICDE Continual Source-Free Unsupervised Domain Adaptation 2023 International ...
However, it should be noted that in semi- or unsupervised settings, the conditional replay and the gating based on internal context components would need to be modified as their current implementation depends on the availability of class labels during training. It might be possible to instead ...
[ProCA] Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation(ECCV 2022)[paper][code] [R-DFCIL] R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning(ECCV 2022)[paper][code] [S3C] S3C: Self-Supervised Stochastic Classifiers for...