Web: http://arxiv.org/abs/2103.15685

Sept. 23, 2022, 1:15 a.m. | Zhedong Zheng, Yi Yang

cs.CV updates on arXiv.org arxiv.org

Domain adaptation is to transfer the shared knowledge learned from the source
domain to a new environment, i.e., target domain. One common practice is to
train the model on both labeled source-domain data and unlabeled target-domain
data. Yet the learned models are usually biased due to the strong supervision
of the source domain. Most researchers adopt the early-stopping strategy to
prevent over-fitting, but when to stop training remains a challenging problem
since the lack of the target-domain validation set. In …

arxiv boosting domain adaptation predictions segmentation

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