Luginov, A., & Makarov, I. (2023). SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices. 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2023 IEEE International Symposium on, ISMAR-ADJUNCT, 642. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00137
Παραπομπή σε μορφή Chicago (17η εκδ.)Luginov, Albert, και Ilya Makarov. "SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices." 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2023 IEEE International Symposium on, ISMAR-ADJUNCT 2023: 642. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00137.
Παραπομπή σε μορφή MLA (9th εκδ.)Luginov, Albert, και Ilya Makarov. "SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices." 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2023 IEEE International Symposium on, ISMAR-ADJUNCT, 2023, p. 642, https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00137.