SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices
Συγγραφείς: Luginov, Albert, Makarov, Ilya
Πηγή: 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) ISMAR-ADJUNCT Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2023 IEEE International Symposium on. :642-647 Oct, 2023
Relation: 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Βάση Δεδομένων: IEEE Xplore Digital Library