Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

9 November 2020

Papers citing "Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications"

8 / 8 papers shown

Title
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation Xin Zhang Liangxiu Han Tam Sobeih Lianghao Han Darren Dancey 55 1 0 26 Apr 2024
Hybridnet for depth estimation and semantic segmentation Dalila Sánchez-Escobedo Xiao Lin J. Casas M. Pardàs SSeg MDE 34 8 0 09 Feb 2024
Lightweight Monocular Depth Estimation R. Ma Shi-yuan Chen Qin Zhang MDE 21 0 0 21 Dec 2022
DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions Tristan Laidlow J. Czarnowski Stefan Leutenegger 3DGS MDE 39 55 0 25 Jul 2022
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping Pan Ji Qingan Yan Yuxin Ma Yi Tian Xu MDE 34 11 0 03 May 2022
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets Tian Chen S. An Yuan Zhang Chongyang Ma Huayan Wang Xiaoyan Guo Wen Zheng MDE 38 31 0 22 Jul 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 191 1,707 0 06 Jun 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 115 876 0 03 Feb 2017