Monocular Depth Estimation Using a Laplacian Image Pyramid with Local Planar Guidance Layers. [PDF]
Sensors (Basel), 2023 Choi YH, Kee SC.
europepmc +1 more source
MogaDepth: Multi-Order Feature Hierarchy Fusion for Lightweight Monocular Depth Estimation. [PDF]
Sensors (Basel)Lin G, Li G.
europepmc +1 more source
Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments. [PDF]
Sensors (Basel), 2022 Fonder M, Ernst D, Van Droogenbroeck M.
europepmc +1 more source
EFDepth: A Monocular Depth Estimation Model for Multi-Scale Feature Optimization. [PDF]
Sensors (Basel)Liu F +5 more
europepmc +1 more source
Monocular Depth Estimation: Lightweight Convolutional and Matrix Capsule Feature-Fusion Network. [PDF]
Sensors (Basel), 2022 Wang Y, Zhu H.
europepmc +1 more source
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios. [PDF]
Sensors (Basel), 2023 Papa L +4 more
europepmc +1 more source
Camera-Based Monocular Depth Estimation in Orthodontics: Vision Transformer vs. CNN Model Performance. [PDF]
Sensors (Basel)Arısan A, Duran GS.
europepmc +1 more source
MsGf: A Lightweight Self-Supervised Monocular Depth Estimation Framework with Multi-Scale Feature Extraction. [PDF]
Sensors (Basel)Tian X, He Z, Zhang Y, Liu F, Gu T.
europepmc +1 more source
Low Rank Adaptation for Monocular Depth Estimation
This project integrates Low-Rank Adaptation (LoRA) into the LiteMono model for efficient monocular depth estimation across domains. By fine-tuning on the NYU-Depth-V2 dataset, we compare LoRA’s parameter-efficient performance against traditional fine ...
AlMusa, Hadi
core
Efficient attention vision transformers for monocular depth estimation on resource-limited hardware. [PDF]
Sci RepSchiavella C +4 more
europepmc +1 more source