SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices
Author:
Affiliation:
1. Xapax,Moscow Institute of Physics and Technology
2. Artificial Intelligence Research Institute (AIRI),AI Center NUST MISiS
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10322104/10322117/10322131.pdf?arnumber=10322131
Reference53 articles.
1. User Modeling on Mobile Device Based on Facial Clustering and Object Detection in Photos and Videos
2. Digging Into Self-Supervised Monocular Depth Estimation
3. Searching for MobileNetV3
4. Deep Residual Learning for Image Recognition
5. R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating
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