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Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap
This paper proposes a novel approach for semi-supervised domain adaptation for holistic regression tasks, where a DNN predicts a continuous value [Formula: see text] given an input image x. The current literature generally lacks specific domain adaptation approaches for this task, as most of them mo...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541592/ https://www.ncbi.nlm.nih.gov/pubmed/34677284 http://dx.doi.org/10.3390/jimaging7100198 |