In defense of multimodal and temporal data for unsupervised domain adaptation (2024)
Fonte: Proceedings. Nome do evento: Latin American Robotics Symposium - LARS. Unidade: ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, ESPAÇO URBANO, APRENDIZAGEM
ABNT
BARBOSA, Felipe Manfio e OSÓRIO, Fernando Santos. In defense of multimodal and temporal data for unsupervised domain adaptation. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/LARS64411.2024.10786396. Acesso em: 04 dez. 2025.APA
Barbosa, F. M., & Osório, F. S. (2024). In defense of multimodal and temporal data for unsupervised domain adaptation. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS64411.2024.10786396NLM
Barbosa FM, Osório FS. In defense of multimodal and temporal data for unsupervised domain adaptation [Internet]. Proceedings. 2024 ;[citado 2025 dez. 04 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786396Vancouver
Barbosa FM, Osório FS. In defense of multimodal and temporal data for unsupervised domain adaptation [Internet]. Proceedings. 2024 ;[citado 2025 dez. 04 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786396

