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Spatial Alignment for Unsupervised Domain Adaptive Single-Stage Object Detection
Domain adaptation methods are proposed to improve the performance of object detection in new domains without additional annotation costs. Recently, domain adaptation methods based on adversarial learning to align source and target domain image distributions are effective. However, for object detecti...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102984/ https://www.ncbi.nlm.nih.gov/pubmed/35590943 http://dx.doi.org/10.3390/s22093253 |