Abstract: Unsupervised domain adaption (UDA) aims to reduce the domain gap between labeled source and unlabeled target domains. Many prior works exploit adversarial learning that leverages ...
Abstract: Typical approaches that learn crowd density maps are limited to extracting the supervisory information from the loosely organized spatial information in the crowd dot/density maps. This ...
Background: Laminoplasty has been widely used for the treatment of multilevel degenerative cervical myelopathy (DCM). However, patients often experience persistent axial symptoms, which affect ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback