Domain Generalization via Aggregation and Separation for Audio Deepfake Detection 来自 ACM 喜欢 0 阅读量: 95 作者:Y Xie,H Cheng,Y Wang,L Ye 摘要: In this paper, we propose an Aggregation and Separation Domain Generalization (ASDG) method for Audio DeepFake Detection (ADD). Fake speech ...
Caputo. Domain generalization with domain-specific aggregation modules. In German Confer- ence on Pattern Recognition (GCPR), 2018. 2Antonio D'Innocente and Barbara Caputo. Domain general- ization with domain-specific aggregation modules. In Ger- man Conference on Pattern Recognition (GCPR), 2018....
根据ICLR2023 Submission Webpage查找域泛化文章,搜索关键词1.domain adaptation;2.domain generalization;3.out-of-distribution.1. Domain Adaptation (15/33)Spotlight: Domain-Indexing Variational Bayes…
domain adaptation is widely explored, but domain generalization is not well adopted. But generalization solves more tasks in more realistic and challenging scenarios. Our survey focuses on a very promising area of domain generalization in semantic segmentation...
items. If a test item contains a fragment that has not been seen during training, then participants will tend to reject that item as ungrammatical (see[69]). Thus, generalization in SL is often, if not always, driven by local stimulus properties and overall judgments of similarity, rather ...
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation [ICCV2021] Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval [CVPR2021] Spatio-temporal Contrastive Domain Adaptation for Action Recognition [CVPR2021] Regressive Domain Adaptation for Unsuperv...
域泛化(domain generalization) 图到图的翻译(image-to-image translation) 通用域自适应 半监督域自适应 多源域自适应 部分域自适应 视频域适应 零样本域自适应 基于蒸馏的域自适应 域自适应的应用 Spotlight 论文: A Simple and Versatile Framework for Image-to-Image Translation ...
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation [ICCV2021] Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval [CVPR2021] Spatio-temporal Contrastive Domain Adaptation for Action Recognition [CVPR2021] Regressive Domain Adaptation for Unsuperv...
Domain adaptation requires unlabeled target domain data, while domain generalization eliminates this need, offering greater flexibility and versatility. Since domain generalization was first applied to fault diagnosis in 2020, numerous diagnostic techniques have emerged, necessitating a thorough review. This ...
Domain-specific experts aggregation: We aggregate the knowledge from multiple domain-specific experts via parameter average, which is a technique known to enhance robustness and generalization ability, surpassing the capabilities of any individual domain-specific expert [83,84]. This process allows us to...