PCDepth: Pattern-based Complementary Learning for Monocular Depth
Estimation by Best of Both Worlds

PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds

29 February 2024

Florian Roehrbein

Guang Chen

Papers citing "PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds"

6 / 6 papers shown

Title
DELTA: Dense Depth from Events and LiDAR using Transformer's Attention Vincent Brebion Julien Moreau Franck Davoine 38 0 0 05 May 2025
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion Pihai Sun Junjun Jiang Yuanqi Yao Youyu Chen Wenbo Zhao Kui Jiang Xianming Liu MDE 41 0 0 25 Mar 2025
Learning Monocular Dense Depth from Events Javier Hidalgo-Carrió Daniel Gehrig Davide Scaramuzza MDE 46 113 0 16 Oct 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 200 1,708 0 06 Jun 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 198 5,176 0 16 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 345 75,888 0 18 May 2015