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Jan 30, 2020 · In this paper, we develop an adaptive teacher-and-student model for heterogeneous domain adaptation (AtsHDA).
In this paper, we develop an adaptive teacher- and-student model for heterogeneous domain adaptation. (AtsHDA). In AtsHDA, the source domain as a teacher and ...
In this paper, an adaptive teacher-and-student model for heterogeneous domain adaptation (AtsHDA) is developed that can achieve competitive results compared ...
Aug 24, 2021 · Bibliographic details on Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation.
labor cost, we have proposed a domain adaptation method for domain adaptive person Re-ID in our research, based on the teacher-student learning framework.
We study unsupervised domain adaptation (UDA) for se- mantic segmentation. Currently, a popular UDA framework lies in self-training which endows the model ...
Jul 31, 2024 · This paper proposes a novel MSDA method called Prototype-based Mean Teacher (PMT), which uses class prototypes instead of domain-specific subnets to encode ...
We introduce a teacher–student learning approach that learns jointly from annotated simulation data and unlabeled real data to tackle the challenges in ...
This paper proposed a new KD, in which Tucker decomposition was used to decompose the large-dimension feature maps of a teacher to obtain core tensors.
Missing: Adaptation. | Show results with:Adaptation.
To facilitate the training, we employ a selective learning scheme where, for each unlabelled sample, the student learns adaptively from only the teacher with ...
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