An improved open-view human action recognition with unsupervised domain adaptation
One of the primary concerns with open-view human action recognition (HAR) is the large differences between data distributions of the target and source views. Subsequently, such differences cause the data shift problem to occur, and hence, decreasing the performance of the system. This problem comes...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media B.V.
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/103343/1/SyedAbdulRahman2022_AnImprovedOpenViewHumanAction.pdf http://eprints.utm.my/103343/ http://dx.doi.org/10.1007/s11042-022-12822-2 |
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